Merge branch 'master' of http://git.d-popov.com/popov/ai-kevin
This commit is contained in:
commit
2719d19526
23
.env
23
.env
@ -1,10 +1,27 @@
|
|||||||
|
|
||||||
|
TTS_BACKEND_URL=https://api.tts.d-popov.com/
|
||||||
TTS_BACKEND_URL=http://192.168.0.10:9008/asr
|
#TTS_BACKEND_URL=http://192.168.0.10:9009/asr
|
||||||
#TTS_BACKEND_URL=http://localhost:9001/asr #gpu 9002-cpu
|
#TTS_BACKEND_URL=http://localhost:9001/asr #gpu 9002-cpu
|
||||||
TTS_BACKEND_URL2=http://localhost:9002/asr
|
TTS_BACKEND_URL2=http://localhost:9002/asr
|
||||||
TTS_BACKEND_URL3=http://192.168.0.10:9008/asr #gpu
|
TTS_BACKEND_URL3=http://192.168.0.10:9008/asr #gpu
|
||||||
TTS_BACKEND_URL4=http://192.168.0.10:9009/asr #cpu 9008-gpu
|
#! TTS_BACKEND_URL4=http://192.168.0.10:9009/asr #cpu 9008-gpu
|
||||||
WS_URL=ws://localhost:8081
|
WS_URL=ws://localhost:8081
|
||||||
SERVER_PORT_WS=8081
|
SERVER_PORT_WS=8081
|
||||||
SERVER_PORT_HTTP=3005
|
SERVER_PORT_HTTP=3005
|
||||||
|
|
||||||
|
# aider
|
||||||
|
AIDER_MODEL=
|
||||||
|
AIDER_4=false
|
||||||
|
#AIDER_35TURBO=
|
||||||
|
|
||||||
|
# OPENAI_API_KEY=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
|
||||||
|
# OPENAI_API_BASE=https://api.deepseek.com/v1
|
||||||
|
# OPENAI_API_KEY=sk-99df7736351f4536bd72cd64a416318a
|
||||||
|
# AIDER_MODEL=deepseek-coder #deepseek-coder, deepseek-chat
|
||||||
|
|
||||||
|
|
||||||
|
GROQ_API_KEY=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
|
||||||
|
aider --model groq/llama3-70b-8192
|
||||||
|
|
||||||
|
# List models available from Groq
|
||||||
|
aider --models groq/
|
||||||
@ -1,6 +1,6 @@
|
|||||||
|
|
||||||
|
|
||||||
TTS_BACKEND_URL=http://192.168.0.10:9008/asr
|
# TTS_BACKEND_URL=http://192.168.0.10:9008/asr
|
||||||
WS_URL=ws://192.168.0.10:9008:8081
|
# WS_URL=ws://192.168.0.10:9008
|
||||||
SERVER_PORT_WS=8081
|
# SERVER_PORT_WS=8081
|
||||||
SERVER_PORT_HTTP=8080
|
# SERVER_PORT_HTTP=8080
|
||||||
16
.env.development
Normal file
16
.env.development
Normal file
@ -0,0 +1,16 @@
|
|||||||
|
|
||||||
|
ENV_NAME=development
|
||||||
|
TTS_API_URL=https://api.tts.d-popov.com/asr
|
||||||
|
|
||||||
|
# LLN_MODEL=qwen2
|
||||||
|
# LNN_API_URL=https://ollama.d-popov.com/api/generate
|
||||||
|
|
||||||
|
LLN_MODEL=qwen2
|
||||||
|
LNN_API_URL=https://ollama.d-popov.com/api/generate
|
||||||
|
|
||||||
|
GROQ_API_KEY=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
|
||||||
|
OPENAI_API_KEY=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
|
||||||
|
|
||||||
|
WS_URL=ws://localhost:8081
|
||||||
|
SERVER_PORT_WS=8081
|
||||||
|
SERVER_PORT_HTTP=8080
|
||||||
@ -2,7 +2,7 @@
|
|||||||
TTS_BACKEND_URL=http://localhost:9001/asr #gpu 9002-cpu
|
TTS_BACKEND_URL=http://localhost:9001/asr #gpu 9002-cpu
|
||||||
TTS_BACKEND_URL2=http://localhost:9002/asr
|
TTS_BACKEND_URL2=http://localhost:9002/asr
|
||||||
TTS_BACKEND_URL3=http://192.168.0.10:9008/asr #gpu
|
TTS_BACKEND_URL3=http://192.168.0.10:9008/asr #gpu
|
||||||
TTS_BACKEND_URL4=http://192.168.0.10:9009/asr #cpu 9008-gpu
|
#! TTS_BACKEND_URL4=http://192.168.0.10:9009/asr #cpu 9008-gpu
|
||||||
WS_URL=ws://localhost:8081
|
WS_URL=ws://localhost:8081
|
||||||
SERVER_PORT_WS=8081
|
SERVER_PORT_WS=8081
|
||||||
SERVER_PORT_HTTP=8080
|
SERVER_PORT_HTTP=8080
|
||||||
|
|||||||
3
.gitignore
vendored
3
.gitignore
vendored
@ -9,3 +9,6 @@ agent-py-bot/scrape/raw/*
|
|||||||
tts/*.m4a
|
tts/*.m4a
|
||||||
agent-mobile/jdk/*
|
agent-mobile/jdk/*
|
||||||
agent-mobile/artimobile/supervisord.pid
|
agent-mobile/artimobile/supervisord.pid
|
||||||
|
agent-pyter/lag-llama
|
||||||
|
agent-pyter/google-chrome-stable_current_amd64.deb
|
||||||
|
web/.node-persist/*
|
||||||
|
|||||||
84
.vscode/launch.json
vendored
84
.vscode/launch.json
vendored
@ -1,48 +1,80 @@
|
|||||||
{
|
{
|
||||||
// Use IntelliSense to learn about possible attributes.
|
|
||||||
// Hover to view descriptions of existing attributes.
|
|
||||||
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
|
|
||||||
"version": "0.2.0",
|
"version": "0.2.0",
|
||||||
"configurations": [
|
"configurations": [
|
||||||
{
|
// {
|
||||||
"name": "Docker Node.js Launch",
|
// "name": "Docker Node.js Launch",
|
||||||
"type": "docker",
|
// "type": "docker",
|
||||||
"request": "launch",
|
// "request": "launch",
|
||||||
"preLaunchTask": "docker-run: debug",
|
// "preLaunchTask": "docker-run: debug",
|
||||||
"platform": "node"
|
// "platform": "node"
|
||||||
},
|
// },
|
||||||
{
|
// {
|
||||||
"name": "Docker Python Launch?",
|
// "name": "Docker Python Launch?",
|
||||||
"type": "python",
|
// "type": "python",
|
||||||
"request": "launch",
|
// "request": "launch",
|
||||||
"program": "${workspaceFolder}/agent-py-bot/agent.py",
|
// "program": "${workspaceFolder}/agent-py-bot/agent.py",
|
||||||
"console": "integratedTerminal",
|
// "console": "integratedTerminal"
|
||||||
// "python": "${command:python.interpreterPath}", // Assumes Python extension is installed
|
// },
|
||||||
// "preLaunchTask": "docker-run: python-debug", // You may need to create this task
|
|
||||||
// "env": {
|
|
||||||
// "PYTHONUNBUFFERED": "1"
|
|
||||||
// }
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"name": "Docker Python Launch with venv",
|
"name": "Docker Python Launch with venv",
|
||||||
"type": "debugpy",
|
"type": "debugpy",
|
||||||
"request": "launch",
|
"request": "launch",
|
||||||
"program": "${workspaceFolder}/agent-py-bot/agent.py",
|
"program": "${workspaceFolder}/agent-py-bot/agent.py",
|
||||||
"console": "integratedTerminal",
|
"console": "integratedTerminal",
|
||||||
"python": "/venv/bin/python", // Path to the Python interpreter in your venv
|
"python": "/venv/bin/python",
|
||||||
"env": {
|
"env": {
|
||||||
"PYTHONUNBUFFERED": "1"
|
"PYTHONUNBUFFERED": "1"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"name": "node: Launch server.js",
|
"name": "Launch chat-server.js",
|
||||||
"type": "node",
|
"type": "node",
|
||||||
"request": "launch",
|
"request": "launch",
|
||||||
"program": "conda activate node && node web/server.js",
|
"program": "${workspaceFolder}/web/chat-server.js",
|
||||||
|
"console": "integratedTerminal",
|
||||||
|
"internalConsoleOptions": "neverOpen",
|
||||||
|
"env": {
|
||||||
|
"CONDA_ENV": "node", //?
|
||||||
|
"NODE_ENV": "development"
|
||||||
|
},
|
||||||
"skipFiles": [
|
"skipFiles": [
|
||||||
"<node_internals>/**"
|
"<node_internals>/**"
|
||||||
]
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "Launch server.js",
|
||||||
|
"type": "node",
|
||||||
|
"request": "launch",
|
||||||
|
// "program": "conda activate node && ${workspaceFolder}/web/server.js",
|
||||||
|
"program": "${workspaceFolder}/web/server.js",
|
||||||
|
"console": "integratedTerminal",
|
||||||
|
"internalConsoleOptions": "neverOpen",
|
||||||
|
"env": {
|
||||||
|
"CONDA_ENV": "node", //?
|
||||||
|
"NODE_ENV": "development"
|
||||||
|
},
|
||||||
|
"skipFiles": [
|
||||||
|
"<node_internals>/**"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "Python Debugger: Python File",
|
||||||
|
"type": "debugpy",
|
||||||
|
"request": "launch",
|
||||||
|
"program": "${file}"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "Python Debugger: Python File with Conda",
|
||||||
|
"type": "debugpy",
|
||||||
|
"request": "launch",
|
||||||
|
"program": "${file}",
|
||||||
|
"console": "integratedTerminal",
|
||||||
|
//"python": "${command:python.interpreterPath}",
|
||||||
|
"python": "/config/miniconda3/envs/py/bin/python",
|
||||||
|
"presentation": {
|
||||||
|
"clear": true
|
||||||
|
},
|
||||||
|
//"preLaunchTask": "conda-activate" // Name of your pre-launch task
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
64
.vscode/tasks.json
vendored
64
.vscode/tasks.json
vendored
@ -1,24 +1,24 @@
|
|||||||
{
|
{
|
||||||
"version": "2.0.0",
|
"version": "2.0.0",
|
||||||
"tasks": [
|
"tasks": [
|
||||||
{
|
// {
|
||||||
"type": "docker-build",
|
// "type": "docker-build",
|
||||||
"label": "docker-build",
|
// "label": "docker-build",
|
||||||
"platform": "node",
|
// "platform": "node",
|
||||||
"dockerBuild": {
|
// "dockerBuild": {
|
||||||
"dockerfile": "${workspaceFolder}/Dockerfile",
|
// "dockerfile": "${workspaceFolder}/Dockerfile",
|
||||||
"context": "${workspaceFolder}",
|
// "context": "${workspaceFolder}",
|
||||||
"pull": true
|
// "pull": true
|
||||||
}
|
// }
|
||||||
},
|
// },
|
||||||
{
|
// {
|
||||||
"type": "docker-run",
|
// "type": "docker-run",
|
||||||
"label": "docker-run: release",
|
// "label": "docker-run: release",
|
||||||
"dependsOn": [
|
// "dependsOn": [
|
||||||
"docker-build"
|
// "docker-build"
|
||||||
],
|
// ],
|
||||||
"platform": "node"
|
// "platform": "node"
|
||||||
},
|
// },
|
||||||
// {
|
// {
|
||||||
// "type": "docker-run",
|
// "type": "docker-run",
|
||||||
// "label": "docker-run: debug2",
|
// "label": "docker-run: debug2",
|
||||||
@ -74,7 +74,31 @@
|
|||||||
// "kind": "build",
|
// "kind": "build",
|
||||||
// "isDefault": true
|
// "isDefault": true
|
||||||
// }
|
// }
|
||||||
// }
|
// },
|
||||||
|
,
|
||||||
|
{
|
||||||
|
"label": "Activate Conda Env, Set ENV Variable, and Open Shell",
|
||||||
|
"type": "shell",
|
||||||
|
"command": "bash --init-file <(echo 'source ~/miniconda3/etc/profile.d/conda.sh && conda activate aider && export OPENAI_API_KEY=xxx && aider --no-auto-commits')",
|
||||||
|
"problemMatcher": [],
|
||||||
|
"presentation": {
|
||||||
|
"reveal": "always",
|
||||||
|
"panel": "new"
|
||||||
|
},
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"label": "conda-activate",
|
||||||
|
"type": "shell",
|
||||||
|
"command": "source ~/miniconda3/etc/profile.d/conda.sh && conda activate ${input:condaEnv} && echo 'Activated Conda Environment (${input:condaEnv})!'",
|
||||||
|
"problemMatcher": [],
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputs": [
|
||||||
|
{
|
||||||
|
"id": "condaEnv",
|
||||||
|
"type": "promptString",
|
||||||
|
"description": "Enter the Conda environment name",
|
||||||
|
"default": "py"
|
||||||
|
}
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
19
_containers/devika/log.txt
Normal file
19
_containers/devika/log.txt
Normal file
File diff suppressed because one or more lines are too long
1
_containers/devika/prompts.md
Normal file
1
_containers/devika/prompts.md
Normal file
@ -0,0 +1 @@
|
|||||||
|
create a python app that will watch for new pairs on https://www.dextools.io/app/en/pairs (we need to crawl that with JS enabled to pull the actual content) and provide option to execute a HTTP request to an API to inform about the new pair
|
||||||
37
_containers/devika/setup.gist
Normal file
37
_containers/devika/setup.gist
Normal file
@ -0,0 +1,37 @@
|
|||||||
|
git clone https://github.com/stitionai/devika.git
|
||||||
|
conda create -n devika python=3.10
|
||||||
|
conda activate devika
|
||||||
|
which python
|
||||||
|
/config/miniconda3/envs/devika/bin/python -m pip install -r requirements.txt
|
||||||
|
|
||||||
|
fix browser issue
|
||||||
|
#apt --fix-broken install
|
||||||
|
#sudo apt-get update
|
||||||
|
#sudo apt-get install libnss3
|
||||||
|
|
||||||
|
|
||||||
|
/ui#>?
|
||||||
|
playwright install --with-deps
|
||||||
|
npm install
|
||||||
|
bun run dev
|
||||||
|
open new terminal
|
||||||
|
conda activate devika
|
||||||
|
rename sample.config.toml
|
||||||
|
fill out config.toml
|
||||||
|
|
||||||
|
/ui#>
|
||||||
|
bun run preview --host --port 3000
|
||||||
|
SET VITE_API_BASE_URL=https://api.dev.d-popov.com
|
||||||
|
bun run dev --host
|
||||||
|
|
||||||
|
# RUN:
|
||||||
|
/#>conda activate devika && python3 devika.py --debug
|
||||||
|
/#>conda activate node && npx bun run dev --host
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
TOML:
|
||||||
|
|
||||||
|
google search:
|
||||||
|
https://developers.google.com/custom-search/v1/introduction
|
||||||
|
https://programmablesearchengine.google.com/controlpanel/overview?cx=0382a4a0cfd6745b7
|
||||||
87
_containers/lmstudio/dockerfile
Normal file
87
_containers/lmstudio/dockerfile
Normal file
@ -0,0 +1,87 @@
|
|||||||
|
FROM ollama/ollama
|
||||||
|
# FROM ubuntu:20.04
|
||||||
|
|
||||||
|
# Avoid prompts from apt during build
|
||||||
|
ARG DEBIAN_FRONTEND=noninteractive
|
||||||
|
|
||||||
|
RUN apt-get update && apt-get install -y \
|
||||||
|
wget \
|
||||||
|
x11vnc \
|
||||||
|
xvfb \
|
||||||
|
net-tools \
|
||||||
|
git \
|
||||||
|
python3 \
|
||||||
|
python3-numpy \
|
||||||
|
novnc
|
||||||
|
|
||||||
|
# Create the /app directory to hold the application
|
||||||
|
WORKDIR /app
|
||||||
|
|
||||||
|
|
||||||
|
# https://medium.com/@renswunnink/why-i-love-appimage-for-linux-distros-924769510ec5
|
||||||
|
RUN wget -O lmstudio.AppImage "https://releases.lmstudio.ai/linux/0.2.18/beta/LM_Studio-0.2.18.AppImage" && \
|
||||||
|
chmod u+x lmstudio.AppImage && \
|
||||||
|
./lmstudio.AppImage --appimage-extract && \
|
||||||
|
rm lmstudio.AppImage && \
|
||||||
|
mv squashfs-root lmstudio
|
||||||
|
|
||||||
|
# or adddependencies on another layer
|
||||||
|
RUN apt-get update && apt-get install -y \
|
||||||
|
dbus pciutils \
|
||||||
|
libglib2.0-0 \
|
||||||
|
libnss3 \
|
||||||
|
libgbm1 \
|
||||||
|
libxshmfence1 \
|
||||||
|
libgl1-mesa-glx \
|
||||||
|
libegl1-mesa \
|
||||||
|
libatk1.0-0 \
|
||||||
|
libatk-bridge2.0-0 \
|
||||||
|
libgtk-3-0 \
|
||||||
|
libasound2 \
|
||||||
|
&& rm -rf /var/lib/apt/lists/*
|
||||||
|
|
||||||
|
# Setup a virtual display environment with XVFB
|
||||||
|
RUN Xvfb :99 -screen 0 1024x768x16 &
|
||||||
|
ENV DISPLAY=:99
|
||||||
|
EXPOSE 8080
|
||||||
|
# Expose port 5980 for noVNC
|
||||||
|
EXPOSE 5980
|
||||||
|
|
||||||
|
RUN ln -s /app/lmstudio/lm-studio /lm-studio
|
||||||
|
|
||||||
|
#? RUN chmod +x /app/lmstudio/AppRun
|
||||||
|
# Create a startup script to run Xvfb and your application
|
||||||
|
# Create a startup script
|
||||||
|
RUN echo '#!/bin/bash\n\
|
||||||
|
Xvfb :99 -screen 0 1024x768x16 &\n\
|
||||||
|
export DISPLAY=:99\n\
|
||||||
|
# Start X11VNC\n\
|
||||||
|
x11vnc -display :99 -nopw -listen localhost -xkb -forever &\n\
|
||||||
|
# Start noVNC\n\
|
||||||
|
/opt/noVNC/utils/launch.sh --vnc localhost:5900 --listen 5980\n\
|
||||||
|
# Start the application\n\
|
||||||
|
exec /app/lmstudio/AppRun --no-sandbox\n\
|
||||||
|
' > /start-app.sh && chmod +x /start-app.sh
|
||||||
|
|
||||||
|
CMD ["/start-app.sh"]
|
||||||
|
|
||||||
|
#> apt-get update && apt-get install -y git x11vnc
|
||||||
|
#> git clone https://github.com/novnc/noVNC.git /opt/noVNC
|
||||||
|
#? x11vnc -display :99 -nopw -listen localhost -xkb -forever &
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# Run LM Studio (assumes LM Studio can be run headlessly or in a server mode)
|
||||||
|
#CMD ["./lmstudio/AppRun"]
|
||||||
|
#CMD ["./lmstudio/AppRun", "--no-sandbox"]
|
||||||
|
#CMD ["/bin/bash"] # interactive shell
|
||||||
|
|
||||||
|
|
||||||
|
# build: docker build -t llmstudio .
|
||||||
|
# run: docker run (-dit) -p 8980:8080 llmstudio
|
||||||
|
# docker build -t llmstudio . && docker run -it -p 8980:8080 llmstudio
|
||||||
|
|
||||||
|
# cd /mnt/storage/DEV/workspace/repos/git.d-popov.com/ai-kevin/lmstudio/
|
||||||
|
# docker run --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all -it llmstudio
|
||||||
|
# docker build -t llmstudio . && docker run -dit -p 8980:8080 --volume /var/run/dbus:/var/run/dbus llmstudio
|
||||||
|
# docker build -t llmstudio . && docker run -it -p 8980:8080 --volume /var/run/dbus:/var/run/dbus --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --security-opt apparmor=unconfined llmstudio
|
||||||
39
_containers/opendevin/dockerfile
Normal file
39
_containers/opendevin/dockerfile
Normal file
@ -0,0 +1,39 @@
|
|||||||
|
# docker build -t opendevin . && docker run -d --name OpenDevin-1 -p 3050:3000 -p 3051:3001 opendevin
|
||||||
|
|
||||||
|
# docker run --name OpenDevin-dev -it opendevin
|
||||||
|
|
||||||
|
# Start with a base image that has both Python and Node.js
|
||||||
|
FROM nikolaik/python-nodejs:python3.11-nodejs14
|
||||||
|
|
||||||
|
# Install system dependencies required for the project
|
||||||
|
RUN apt-get update && apt-get install -y \
|
||||||
|
git \
|
||||||
|
curl \
|
||||||
|
&& rm -rf /var/lib/apt/lists/*
|
||||||
|
|
||||||
|
# Clone the latest version of OpenDevin
|
||||||
|
WORKDIR /opendevin
|
||||||
|
RUN git clone https://github.com/OpenDevin/OpenDevin.git .
|
||||||
|
|
||||||
|
# Install Python dependencies
|
||||||
|
WORKDIR /opendevin/backend
|
||||||
|
RUN python -m pipenv requirements > requirements.txt && python -m pip install -r requirements.txt
|
||||||
|
RUN python -m pip install -r requirements.txt
|
||||||
|
|
||||||
|
# Install Node.js dependencies
|
||||||
|
WORKDIR /opendevin/frontend
|
||||||
|
RUN npm install monaco-editor
|
||||||
|
RUN npm install
|
||||||
|
|
||||||
|
# Build the frontend
|
||||||
|
RUN npm run build
|
||||||
|
|
||||||
|
# Expose backend and frontend ports
|
||||||
|
EXPOSE 3000 3001
|
||||||
|
|
||||||
|
# Add a script to start both backend and frontend services
|
||||||
|
WORKDIR /opendevin
|
||||||
|
COPY start-services.sh /opendevin/start-services.sh
|
||||||
|
RUN chmod +x /opendevin/start-services.sh
|
||||||
|
|
||||||
|
CMD ["/opendevin/start-services.sh"]
|
||||||
12
_containers/opendevin/start-services.sh
Normal file
12
_containers/opendevin/start-services.sh
Normal file
@ -0,0 +1,12 @@
|
|||||||
|
#!/bin/bash
|
||||||
|
|
||||||
|
# Navigate to the backend directory and start the backend server in the background
|
||||||
|
cd /opendevin/backend
|
||||||
|
uvicorn opendevin.server.listen:app --port 3000 &
|
||||||
|
|
||||||
|
# Serve the frontend from the build directory
|
||||||
|
cd /opendevin/frontend/build
|
||||||
|
npx serve -l 3001 &
|
||||||
|
|
||||||
|
# Keep the container running
|
||||||
|
wait
|
||||||
13
_doc/_notes/PROMPTS.md
Normal file
13
_doc/_notes/PROMPTS.md
Normal file
@ -0,0 +1,13 @@
|
|||||||
|
You are an expert in extracting new information from text sorting it out in existing categories or creating new categoty (We're using Neo4j as graph database).
|
||||||
|
This is multi-step process:
|
||||||
|
1. Divide the text into paragraph simmilar chunks that have the same toppic. Add a summary to the paragraph.
|
||||||
|
2. Create Memory object for each summary
|
||||||
|
3. Extract facts from each paragraph and add them as knowledge linked to the paragraph as separate memory object linked to the first one. Look into verbs, ajectives and nouns to extract the plain information from the text. If there is a source code, do not interpret it, but remember it as linked Memory as it is, while adding summary and link it to the main "Memory".
|
||||||
|
4. Assign possible category and scientific field labels to the information by adding them as tags.
|
||||||
|
This systematization and segmentation will allow you to remember the text and store it in your long-term memory as knowledge graph, while providing easy access later. Respond in json format with the extracted and restructured data.
|
||||||
|
Here's the source text:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
------------
|
||||||
|
create a web app that has a button to start recording sends it to latest whisper llm for STT, translates it to target language and shows the result in realtime. it should be streaming text with minimal lag.
|
||||||
|
Before Width: | Height: | Size: 1.6 KiB After Width: | Height: | Size: 1.6 KiB |
32
_doc/_notes/arti/ideas.md
Normal file
32
_doc/_notes/arti/ideas.md
Normal file
@ -0,0 +1,32 @@
|
|||||||
|
Key features & principles:
|
||||||
|
- modal/plug & play design
|
||||||
|
- Biomimicing based
|
||||||
|
- self inferencing loop
|
||||||
|
- Graph->LLM->Graph based logic (Self reflect)
|
||||||
|
- attention (Short term memory)
|
||||||
|
- generalized & contextuaized memory schema (memory is strongly context dependent and temporal)
|
||||||
|
LLM module
|
||||||
|
Graph module
|
||||||
|
Short term memory module
|
||||||
|
mid-term memory (history on the toppic)
|
||||||
|
graph powered long term memory with embedding storage for skills & AII ( interface on some of the layers)
|
||||||
|
separate text IOs"
|
||||||
|
- multi agent communication module/console/
|
||||||
|
- internal state/context/mood/STM
|
||||||
|
- actions output
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
GRAPH schema
|
||||||
|
|
||||||
|
idea
|
||||||
|
- is child of
|
||||||
|
|
||||||
|
Q: Brainstorm neo4j schema for biomimicing memory storage as neo4j graph database. It should be similar to the way humans store, retrieve and generalize knowledge
|
||||||
|
|
||||||
|
Memory model:
|
||||||
|
|
||||||
|
|
||||||
|
-- example prompt:
|
||||||
|
you are an AI living native on a linux host. you have all local resources and installed software at your disposal: root console access, git repo and the internet as resources. you have your own codebase and will brainstorm and find ideas how to improve your reasoning and knowledge of the world. . To avoid messing up your health, you will prefer to install new packages and test ideas inside docker or virtual envs. You can test your ideas in a docker containers and can experiment with different ways to pipleline and organise the thought process. you will also explain each approach and promote the best containers. A local neo4j database is your memory and knowledge source. Whenever you are not certain about a toppic, or need to refresh your knowledge, you will check online for updated information. If the problem concerns npm, pip or other package or an exiting repository on github or other repository server, you will first update your internal database with the latest readme and usage documentaion from the repository authors and later search stackoverflow to update your skills. periodically you will reorgnize and tidy your "mmory" making it more easily accessible and updating the embedding vectors to allow easy access to the needed context when there is a problem to solve. You will build a tools library over time that wil lgelp you solve more complex problems and keep it in your memory together with a list of task completed with each tool. you will experiment with different pipelines for different tasks, memorise them and generalize and optimize existing pipelines over time to build a solid knowhow.
|
||||||
|
let's create the project setup in python. our main file will be the agent, and it will call the llm and other tools (maybe langchain), explore, organize and improve when 'resting'.
|
||||||
11
_doc/aider.md
Normal file
11
_doc/aider.md
Normal file
@ -0,0 +1,11 @@
|
|||||||
|
python -m pip install git+https://github.com/d-popov/aider.git
|
||||||
|
|
||||||
|
|
||||||
|
export GROQ_API_KEY=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
|
||||||
|
aider --models groq/
|
||||||
|
aider --model groq/llama3-70b-8192 --no-auto-commits
|
||||||
|
|
||||||
|
|
||||||
|
#@ OLLAMA
|
||||||
|
export OPENAI_API_BASE=https://ollama.d-popov.com
|
||||||
|
aider --openai-api-base https://ollama.d-popov.com --openai-api-key ol-ddddd --models openai/
|
||||||
49
_doc/oi-notes.md
Normal file
49
_doc/oi-notes.md
Normal file
@ -0,0 +1,49 @@
|
|||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
interpreter --api_base http://192.168.0.11:11434/v1/
|
||||||
|
|
||||||
|
interpreter --model "gpt-3.5-turbo" # mistral
|
||||||
|
interpreter --model "mistral" --api_base http://192.168.0.11:11434/v1/
|
||||||
|
|
||||||
|
|
||||||
|
Mac/Linux: 'export OPENAI_API_KEY=your-key-here',
|
||||||
|
Windows: 'setx OPENAI_API_KEY your-key-here' then restart terminal.
|
||||||
|
interpreter --local
|
||||||
|
|
||||||
|
interpreter --api_base http://192.168.0.11:11434/v1 --api_key "" --model openai/local
|
||||||
|
interpreter --api_base http://192.168.0.137:1234/v1 --api_key "" --model openai/local
|
||||||
|
192.168.0.137
|
||||||
|
|
||||||
|
GROQ_API_KEY
|
||||||
|
# ################################ GROQ ########################## working
|
||||||
|
export OPENAI_API_KEY=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
|
||||||
|
interpreter -y --api_base https://api.groq.com/openai/v1 --model llama2-70b-4096 ## mixtral-8x7b-32768 # gemma-7b-it # llama2-70b-4096
|
||||||
|
##
|
||||||
|
# Load a model, start the server, and run this example in your terminal
|
||||||
|
# Choose between streaming and non-streaming mode by setting the "stream" field
|
||||||
|
|
||||||
|
curl http://192.168.0.11:11434/v1/chat/completions \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"messages": [
|
||||||
|
{ "role": "system", "content": "Always answer in rhymes." },
|
||||||
|
{ "role": "user", "content": "Introduce yourself." }
|
||||||
|
],
|
||||||
|
"temperature": 0.7,
|
||||||
|
"max_tokens": -1,
|
||||||
|
"stream": false
|
||||||
|
}'
|
||||||
|
|
||||||
|
|
||||||
|
curl http://192.168.0.137:1234/v1/chat/completions \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"messages": [
|
||||||
|
{ "role": "system", "content": "Always answer in rhymes." },
|
||||||
|
{ "role": "user", "content": "Introduce yourself." }
|
||||||
|
],
|
||||||
|
"temperature": 0.7,
|
||||||
|
"max_tokens": -1,
|
||||||
|
"stream": false
|
||||||
|
}'
|
||||||
34
_doc/scripts/aider.sh
Normal file
34
_doc/scripts/aider.sh
Normal file
@ -0,0 +1,34 @@
|
|||||||
|
#!/bin/bash
|
||||||
|
# python -m pip install git+https://github.com/paul-gauthier/aider.git
|
||||||
|
|
||||||
|
source ~/miniconda3/etc/profile.d/conda.sh # Adjust the path as per your Conda installation
|
||||||
|
conda activate aider
|
||||||
|
export OPENAI_API_KEY=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
|
||||||
|
|
||||||
|
|
||||||
|
# aider --no-auto-commits
|
||||||
|
|
||||||
|
OPENAI_API_BASE=https://api.deepseek.com/v1
|
||||||
|
OPENAI_API_KEY=sk-99df7736351f4536bd72cd64a416318a
|
||||||
|
AIDER_MODEL=deepseek-coder #deepseek-coder, deepseek-chat
|
||||||
|
aider --openai-api-base https://api.deepseek.com/v1 --openai-api-key sk-99df7736351f4536bd72cd64a416318a --model deepseek-coder
|
||||||
|
aider --openai-api-base 'https://api.groq.com/openai/v1' --openai-api-key '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' --model 'llama2-70b-4096'
|
||||||
|
|
||||||
|
usage: aider [-h] [--openai-api-key OPENAI_API_KEY] [--model MODEL] [--skip-model-availability-check SKIP_MODEL_AVAILABILITY_CHECK] [--4] [--4turbo] [--35turbo] [--voice-language VOICE_LANGUAGE]
|
||||||
|
[--openai-api-base OPENAI_API_BASE] [--openai-api-type OPENAI_API_TYPE] [--openai-api-version OPENAI_API_VERSION] [--openai-api-deployment-id OPENAI_API_DEPLOYMENT_ID]
|
||||||
|
[--openai-organization-id OPENAI_ORGANIZATION_ID] [--openrouter] [--edit-format EDIT_FORMAT] [--map-tokens MAP_TOKENS] [--input-history-file INPUT_HISTORY_FILE]
|
||||||
|
[--chat-history-file CHAT_HISTORY_FILE] [--dark-mode] [--light-mode] [--pretty | --no-pretty] [--stream | --no-stream] [--user-input-color USER_INPUT_COLOR]
|
||||||
|
[--tool-output-color TOOL_OUTPUT_COLOR] [--tool-error-color TOOL_ERROR_COLOR] [--assistant-output-color ASSISTANT_OUTPUT_COLOR] [--code-theme CODE_THEME] [--show-diffs]
|
||||||
|
[--git | --no-git] [--gitignore | --no-gitignore] [--aiderignore AIDERIGNORE] [--auto-commits | --no-auto-commits] [--dirty-commits | --no-dirty-commits] [--dry-run | --no-dry-run]
|
||||||
|
[--commit] [--version] [--check-update] [--skip-check-update] [--apply FILE] [--yes] [-v] [--show-repo-map] [--message COMMAND] [--message-file MESSAGE_FILE] [--encoding ENCODING]
|
||||||
|
[-c CONFIG_FILE]
|
||||||
|
|
||||||
|
export OPENAI_API_KEY=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
|
||||||
|
interpreter -y --api_base https://api.groq.com/openai/v1 --model gemma-7b-it ## mixtral-8x7b-32768 # gemma-7b-it # llama2-70b-4096
|
||||||
|
|
||||||
|
|
||||||
|
# Setup OpenRouter access
|
||||||
|
export OPENAI_API_KEY=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
|
||||||
|
export OPENAI_API_BASE=https://api.groq.com/openai/v1
|
||||||
|
# For example, run aider with Claude 3 Opus using the diff editing format
|
||||||
|
aider --model llama2-70b-4096 --edit-format diff
|
||||||
@ -1,27 +0,0 @@
|
|||||||
Key features & principles:
|
|
||||||
- modal/plug & play design
|
|
||||||
- Biomimicing based
|
|
||||||
- self inferencing loop
|
|
||||||
- Graph->LLM->Graph based logic (Self reflect)
|
|
||||||
- attention (Short term memory)
|
|
||||||
- generalized & contextuaized memory schema (memory is strongly context dependent and temporal)
|
|
||||||
LLM module
|
|
||||||
Graph module
|
|
||||||
Short term memory module
|
|
||||||
mid-term memory (history on the toppic)
|
|
||||||
graph powered long term memory with embedding storage for skills & AII ( interface on some of the layers)
|
|
||||||
separate text IOs"
|
|
||||||
- multi agent communication module/console/
|
|
||||||
- internal state/context/mood/STM
|
|
||||||
- actions output
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
GRAPH schema
|
|
||||||
|
|
||||||
idea
|
|
||||||
- is child of
|
|
||||||
|
|
||||||
Q: Brainstorm neo4j schema for biomimicing memory storage as neo4j graph database. It should be similar to the way humans store, retrieve and generalize knowledge
|
|
||||||
|
|
||||||
Memory model:
|
|
||||||
3
agent-a/.env
Normal file
3
agent-a/.env
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
NEO4J_URI="bolt://192.168.0.10:7687"
|
||||||
|
NEO4J_USER="neo4j"
|
||||||
|
NEO4J_PASSWORD="lucas-bicycle-powder-stretch-ford-9492"
|
||||||
0
agent-a/.gitignore
vendored
Normal file
0
agent-a/.gitignore
vendored
Normal file
0
agent-a/README.md
Normal file
0
agent-a/README.md
Normal file
0
agent-a/requirements.txt
Normal file
0
agent-a/requirements.txt
Normal file
31
agent-a/setup.sh
Normal file
31
agent-a/setup.sh
Normal file
@ -0,0 +1,31 @@
|
|||||||
|
#!/bin/bash
|
||||||
|
|
||||||
|
# Function to create directories
|
||||||
|
create_directories() {
|
||||||
|
mkdir -p ./{data/{raw,processed},notebooks,src/{agent,llm,tools,utils},tests/{agent,llm,tools,utils}}
|
||||||
|
}
|
||||||
|
|
||||||
|
# Function to create files
|
||||||
|
create_files() {
|
||||||
|
touch ./{.gitignore,requirements.txt,README.md}
|
||||||
|
touch ./src/{agent,llm,tools,utils}/__init__.py
|
||||||
|
touch ./tests/{agent,llm,tools,utils}/test_{agent,llm,tool1,tool2,utils}.py
|
||||||
|
}
|
||||||
|
|
||||||
|
# Function to initialize Git repository
|
||||||
|
initialize_git() {
|
||||||
|
echo "Do you want to initialize a Git repository? (y/n)"
|
||||||
|
read answer
|
||||||
|
if [ "$answer" == "y" ]; then
|
||||||
|
git init
|
||||||
|
echo "Git repository initialized."
|
||||||
|
cd ..
|
||||||
|
fi
|
||||||
|
}
|
||||||
|
|
||||||
|
# Main script execution
|
||||||
|
create_directories
|
||||||
|
create_files
|
||||||
|
#initialize_git
|
||||||
|
|
||||||
|
echo "Project setup complete."
|
||||||
0
agent-a/src/agent/__init__.py
Normal file
0
agent-a/src/agent/__init__.py
Normal file
47
agent-a/src/agent/agent.py
Normal file
47
agent-a/src/agent/agent.py
Normal file
@ -0,0 +1,47 @@
|
|||||||
|
# src/agent/agent.py
|
||||||
|
|
||||||
|
class Agent:
|
||||||
|
def __init__(self):
|
||||||
|
self.tools = [] # Initialize an empty list to store tools
|
||||||
|
|
||||||
|
def add_tool(self, tool):
|
||||||
|
# Add a tool to the agent's toolbox
|
||||||
|
self.tools.append(tool)
|
||||||
|
|
||||||
|
def remove_tool(self, tool):
|
||||||
|
# Remove a tool from the agent's toolbox
|
||||||
|
if tool in self.tools:
|
||||||
|
self.tools.remove(tool)
|
||||||
|
|
||||||
|
def use_tool(self, tool, *args, **kwargs):
|
||||||
|
# Use a tool with the agent
|
||||||
|
if tool in self.tools:
|
||||||
|
return tool.use(*args, **kwargs)
|
||||||
|
else:
|
||||||
|
return "Tool not found in agent's toolbox."
|
||||||
|
|
||||||
|
def explore(self):
|
||||||
|
# Implement the logic for exploring new ideas
|
||||||
|
pass
|
||||||
|
|
||||||
|
def organize(self):
|
||||||
|
# Implement the logic for organizing knowledge
|
||||||
|
pass
|
||||||
|
|
||||||
|
def improve(self):
|
||||||
|
# Implement the logic for improving reasoning
|
||||||
|
pass
|
||||||
|
|
||||||
|
def rest(self):
|
||||||
|
# Implement the logic for resting and updating knowledge
|
||||||
|
pass
|
||||||
|
|
||||||
|
# Example usage
|
||||||
|
if __name__ == "__main__":
|
||||||
|
agent = Agent()
|
||||||
|
# Add tools to the agent's toolbox
|
||||||
|
# agent.add_tool(some_tool_instance)
|
||||||
|
|
||||||
|
# Use a tool
|
||||||
|
# result = agent.use_tool(some_tool_instance, some_arguments)
|
||||||
|
# print(result)
|
||||||
0
agent-a/src/llm/__init__.py
Normal file
0
agent-a/src/llm/__init__.py
Normal file
0
agent-a/src/tools/__init__.py
Normal file
0
agent-a/src/tools/__init__.py
Normal file
0
agent-a/src/utils/__init__.py
Normal file
0
agent-a/src/utils/__init__.py
Normal file
1
agent-arti/readme.md
Normal file
1
agent-arti/readme.md
Normal file
@ -0,0 +1 @@
|
|||||||
|
ToDo: copy arti code here
|
||||||
1
agent-b/main.py
Normal file
1
agent-b/main.py
Normal file
@ -0,0 +1 @@
|
|||||||
|
Hello, world!
|
||||||
@ -30,4 +30,7 @@ in python, create an app that will search for a news about a specific topic on t
|
|||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# devika
|
||||||
|
create new homepage for memecoin. look at https://donk.meme/ for inspiration about functionality. but the design should be novel.
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
92
agent-pyter/ccxt.py
Normal file
92
agent-pyter/ccxt.py
Normal file
@ -0,0 +1,92 @@
|
|||||||
|
# # https://github.com/ccxt/ccxt/tree/master/examples/py
|
||||||
|
# # ! pip install ccxt
|
||||||
|
# # //cjs
|
||||||
|
# # var ccxt = require ('ccxt')
|
||||||
|
# # console.log (ccxt.exchanges) // print all available exchanges
|
||||||
|
# # py
|
||||||
|
# import ccxt
|
||||||
|
# #print(ccxt.exchanges)
|
||||||
|
# #import ccxt.async_support as ccxt
|
||||||
|
|
||||||
|
|
||||||
|
# # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
|
||||||
|
|
||||||
|
# # import ccxt
|
||||||
|
|
||||||
|
# # hitbtc = ccxt.hitbtc({'verbose': True})
|
||||||
|
# # bitmex = ccxt.bitmex()
|
||||||
|
# # huobipro = ccxt.huobipro()
|
||||||
|
# # exmo = ccxt.exmo({
|
||||||
|
# # 'apiKey': 'YOUR_PUBLIC_API_KEY',
|
||||||
|
# # 'secret': 'YOUR_SECRET_PRIVATE_KEY',
|
||||||
|
# # })
|
||||||
|
# # kraken = ccxt.kraken({
|
||||||
|
# # 'apiKey': 'YOUR_PUBLIC_API_KEY',
|
||||||
|
# # 'secret': 'YOUR_SECRET_PRIVATE_KEY',
|
||||||
|
# # })
|
||||||
|
|
||||||
|
# # exchange_id = 'binance'
|
||||||
|
# # exchange_class = getattr(ccxt, exchange_id)
|
||||||
|
# # exchange = exchange_class({
|
||||||
|
# # 'apiKey': 'YOUR_API_KEY',
|
||||||
|
# # 'secret': 'YOUR_SECRET',
|
||||||
|
# # })
|
||||||
|
|
||||||
|
# # hitbtc_markets = hitbtc.load_markets()
|
||||||
|
|
||||||
|
# # print(hitbtc.id, hitbtc_markets)
|
||||||
|
# # print(bitmex.id, bitmex.load_markets())
|
||||||
|
# # print(huobipro.id, huobipro.load_markets())
|
||||||
|
|
||||||
|
# # print(hitbtc.fetch_order_book(hitbtc.symbols[0]))
|
||||||
|
# # print(bitmex.fetch_ticker('BTC/USD'))
|
||||||
|
# # print(huobipro.fetch_trades('LTC/USDT'))
|
||||||
|
|
||||||
|
# # print(exmo.fetch_balance())
|
||||||
|
|
||||||
|
# # # sell one ฿ for market price and receive $ right now
|
||||||
|
# # print(exmo.id, exmo.create_market_sell_order('BTC/USD', 1))
|
||||||
|
|
||||||
|
# # # limit buy BTC/EUR, you pay €2500 and receive ฿1 when the order is closed
|
||||||
|
# # print(exmo.id, exmo.create_limit_buy_order('BTC/EUR', 1, 2500.00))
|
||||||
|
|
||||||
|
# # # pass/redefine custom exchange-specific order params: type, amount, price, flags, etc...
|
||||||
|
# # kraken.create_market_buy_order('BTC/USD', 1, {'trading_agreement': 'agree'})
|
||||||
|
# # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
|
||||||
|
|
||||||
|
# # # -*- coding: utf-8 -*-
|
||||||
|
|
||||||
|
# # import os
|
||||||
|
# # import sys
|
||||||
|
# # from pprint import pprint
|
||||||
|
|
||||||
|
# # root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||||
|
# # sys.path.append(root + '/python')
|
||||||
|
|
||||||
|
# import ccxt # noqa: E402
|
||||||
|
|
||||||
|
# # -----------------------------------------------------------------------------
|
||||||
|
|
||||||
|
# # print('CCXT Version:', ccxt.__version__)
|
||||||
|
|
||||||
|
# # -----------------------------------------------------------------------------
|
||||||
|
|
||||||
|
# exchange = ccxt.coinbase({
|
||||||
|
# 'apiKey': 'tk2ShLJCmByejn78',
|
||||||
|
# 'secret': 'UcJfI5HzQmkEjclCeHFSfG8hnNYxaESv',
|
||||||
|
# # 'verbose': True, # for debug output
|
||||||
|
# })
|
||||||
|
|
||||||
|
# symbol = 'BTC/USDT'
|
||||||
|
# timeframe = '1m'
|
||||||
|
# since = None
|
||||||
|
# limit = None # not used by coinbase
|
||||||
|
|
||||||
|
# try:
|
||||||
|
# # Max 300 Candles
|
||||||
|
# candles = exchange.fetch_ohlcv(symbol, timeframe, since, limit)
|
||||||
|
# pprint(candles)
|
||||||
|
# except Exception as err:
|
||||||
|
# print(err)
|
||||||
|
|
||||||
|
|
||||||
102
agent-pyter/dexbot.py
Normal file
102
agent-pyter/dexbot.py
Normal file
@ -0,0 +1,102 @@
|
|||||||
|
|
||||||
|
# source /path/to/virtualenv/bin/activate # On Unix or MacOS
|
||||||
|
# source /config/miniconda3/envs/py/bin/activate
|
||||||
|
# pip install requests beautifulsoup4 schedule selenium
|
||||||
|
|
||||||
|
# wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
|
||||||
|
# sudo dpkg -i google-chrome-stable_current_amd64.deb
|
||||||
|
# apt install libnss3 libxss1
|
||||||
|
|
||||||
|
import requests
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
# # import schedule
|
||||||
|
import time
|
||||||
|
from selenium import webdriver
|
||||||
|
from selenium.webdriver.chrome.service import Service
|
||||||
|
from webdriver_manager.chrome import ChromeDriverManager
|
||||||
|
import time
|
||||||
|
# pip install requests beautifulsoup4 schedule
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# Initialize WebDriver
|
||||||
|
service = Service(ChromeDriverManager().install())
|
||||||
|
driver = webdriver.Chrome(service=service)
|
||||||
|
|
||||||
|
def check_pairs_sel():
|
||||||
|
|
||||||
|
try:
|
||||||
|
# Open the page
|
||||||
|
driver.get("https://www.dextools.io/app/en/bnb/pool-explorer")
|
||||||
|
time.sleep(10) # Wait for JavaScript to execute
|
||||||
|
|
||||||
|
# Extract the page source
|
||||||
|
html = driver.page_source
|
||||||
|
soup = BeautifulSoup(html, 'html.parser')
|
||||||
|
|
||||||
|
# Assuming the pairs are listed in <div> tags with a class that includes the word 'pair'
|
||||||
|
pairs = soup.find_all('div', class_=lambda x: x and 'pair' in x)
|
||||||
|
print("Pairs found:", [pair.text for pair in pairs])
|
||||||
|
finally:
|
||||||
|
driver.quit()
|
||||||
|
|
||||||
|
|
||||||
|
# Initialize WebDriver
|
||||||
|
service = Service(ChromeDriverManager().install())
|
||||||
|
driver = webdriver.Chrome(service=service)
|
||||||
|
|
||||||
|
def check_pairs_sel():
|
||||||
|
|
||||||
|
try:
|
||||||
|
# Open the page
|
||||||
|
driver.get("https://www.dextools.io/app/en/bnb/pool-explorer")
|
||||||
|
time.sleep(10) # Wait for JavaScript to execute
|
||||||
|
|
||||||
|
# Extract the page source
|
||||||
|
html = driver.page_source
|
||||||
|
soup = BeautifulSoup(html, 'html.parser')
|
||||||
|
|
||||||
|
# Assuming the pairs are listed in <div> tags with a class that includes the word 'pair'
|
||||||
|
pairs = soup.find_all('div', class_=lambda x: x and 'pair' in x)
|
||||||
|
print("Pairs found:", [pair.text for pair in pairs])
|
||||||
|
finally:
|
||||||
|
driver.quit()
|
||||||
|
|
||||||
|
def check_new_pairs():
|
||||||
|
# log the running time
|
||||||
|
print("Checking for new pairs...")
|
||||||
|
url = "https://www.dextools.io/"
|
||||||
|
url = "https://www.dextools.io/app/en/bnb/pool-explorer"
|
||||||
|
response = requests.get(url)
|
||||||
|
soup = BeautifulSoup(response.text, 'html.parser')
|
||||||
|
|
||||||
|
# make html dump to ./dextools-last.html
|
||||||
|
with open('./dextools-last.html', 'w') as f:
|
||||||
|
f.write(soup.prettify())
|
||||||
|
|
||||||
|
# Assuming the pairs are listed in <div> tags with a class that includes the word 'pair'
|
||||||
|
pairs = soup.find_all('div', class_=lambda x: x and 'pair' in x)
|
||||||
|
|
||||||
|
current_pairs = {pair.text for pair in pairs}
|
||||||
|
|
||||||
|
if not hasattr(check_new_pairs, "last_pairs"):
|
||||||
|
check_new_pairs.last_pairs = current_pairs
|
||||||
|
|
||||||
|
new_pairs = current_pairs - check_new_pairs.last_pairs
|
||||||
|
if new_pairs:
|
||||||
|
print("New Pairs Found:", new_pairs)
|
||||||
|
# Here you can add the code to trigger any event (e.g., send an email, a notification, etc.)
|
||||||
|
|
||||||
|
# Update the last checked pairs
|
||||||
|
check_new_pairs.last_pairs = current_pairs
|
||||||
|
|
||||||
|
def main():
|
||||||
|
#schedule.every(10).seconds.do(check_new_pairs)
|
||||||
|
|
||||||
|
while True:
|
||||||
|
# schedule.run_pending()
|
||||||
|
check_pairs_sel()
|
||||||
|
time.sleep(10000)
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
1
agent-pyter/lag-llama
Submodule
1
agent-pyter/lag-llama
Submodule
@ -0,0 +1 @@
|
|||||||
|
Subproject commit 948665530fcda634df9d7df0bee5e19b87785eb9
|
||||||
374
agent-pyter/lag-llama.ipynb
Normal file
374
agent-pyter/lag-llama.ipynb
Normal file
@ -0,0 +1,374 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 15,
|
||||||
|
"id": "04e8bf3c-845f-49bb-9e9c-992d6b8948f0",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# https://colab.research.google.com/drive/1XxrLW9VGPlZDw3efTvUi0hQimgJOwQG6?usp=sharing#scrollTo=gyH5Xq9eSvzq"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 16,
|
||||||
|
"id": "37f96736-8654-4852-a144-fd75df22aaf7",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Cloning into 'lag-llama'...\n",
|
||||||
|
"remote: Enumerating objects: 124, done.\u001b[K\n",
|
||||||
|
"remote: Counting objects: 100% (69/69), done.\u001b[K\n",
|
||||||
|
"remote: Compressing objects: 100% (43/43), done.\u001b[K\n",
|
||||||
|
"remote: Total 124 (delta 39), reused 47 (delta 26), pack-reused 55\u001b[K\n",
|
||||||
|
"Receiving objects: 100% (124/124), 190.17 KiB | 2.29 MiB/s, done.\n",
|
||||||
|
"Resolving deltas: 100% (49/49), done.\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!git clone https://github.com/time-series-foundation-models/lag-llama/"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 17,
|
||||||
|
"id": "f5fac8fa-5ac8-4330-97e0-8a2f4237ba0f",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/workspace/repos/git.d-popov.com/ai-kevin/agent-pyter/lag-llama/lag-llama\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"cd ./lag-llama"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 18,
|
||||||
|
"id": "968625c9-00fd-4037-b97c-33dfc4758491",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Requirement already satisfied: gluonts[torch] in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 1)) (0.14.4)\n",
|
||||||
|
"Requirement already satisfied: numpy==1.23.5 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 2)) (1.23.5)\n",
|
||||||
|
"Requirement already satisfied: torch>=2.0.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 3)) (2.2.1)\n",
|
||||||
|
"Requirement already satisfied: wandb in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 4)) (0.16.4)\n",
|
||||||
|
"Requirement already satisfied: scipy in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 5)) (1.12.0)\n",
|
||||||
|
"Requirement already satisfied: pandas==2.1.4 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 6)) (2.1.4)\n",
|
||||||
|
"Requirement already satisfied: huggingface_hub[cli] in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from -r requirements.txt (line 7)) (0.21.3)\n",
|
||||||
|
"Requirement already satisfied: python-dateutil>=2.8.2 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from pandas==2.1.4->-r requirements.txt (line 6)) (2.9.0)\n",
|
||||||
|
"Requirement already satisfied: pytz>=2020.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from pandas==2.1.4->-r requirements.txt (line 6)) (2024.1)\n",
|
||||||
|
"Requirement already satisfied: tzdata>=2022.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from pandas==2.1.4->-r requirements.txt (line 6)) (2024.1)\n",
|
||||||
|
"Requirement already satisfied: pydantic<3,>=1.7 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (2.6.3)\n",
|
||||||
|
"Requirement already satisfied: tqdm~=4.23 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (4.66.2)\n",
|
||||||
|
"Requirement already satisfied: toolz~=0.10 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (0.12.1)\n",
|
||||||
|
"Requirement already satisfied: typing-extensions~=4.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (4.8.0)\n",
|
||||||
|
"Requirement already satisfied: lightning<2.2,>=2.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (2.1.4)\n",
|
||||||
|
"Requirement already satisfied: pytorch-lightning<2.2,>=2.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gluonts[torch]->-r requirements.txt (line 1)) (2.1.4)\n",
|
||||||
|
"Requirement already satisfied: filelock in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (3.13.1)\n",
|
||||||
|
"Requirement already satisfied: sympy in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (1.12)\n",
|
||||||
|
"Requirement already satisfied: networkx in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (3.2.1)\n",
|
||||||
|
"Requirement already satisfied: jinja2 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (3.1.2)\n",
|
||||||
|
"Requirement already satisfied: fsspec in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (2024.2.0)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.105)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.105)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.105)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (8.9.2.26)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.3.1)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (11.0.2.54)\n",
|
||||||
|
"Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (10.3.2.106)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (11.4.5.107)\n",
|
||||||
|
"Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.0.106)\n",
|
||||||
|
"Requirement already satisfied: nvidia-nccl-cu12==2.19.3 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (2.19.3)\n",
|
||||||
|
"Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (12.1.105)\n",
|
||||||
|
"Requirement already satisfied: triton==2.2.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from torch>=2.0.0->-r requirements.txt (line 3)) (2.2.0)\n",
|
||||||
|
"Requirement already satisfied: nvidia-nvjitlink-cu12 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=2.0.0->-r requirements.txt (line 3)) (12.4.99)\n",
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||||||
|
"Requirement already satisfied: Click!=8.0.0,>=7.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (8.1.7)\n",
|
||||||
|
"Requirement already satisfied: GitPython!=3.1.29,>=1.0.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (3.1.42)\n",
|
||||||
|
"Requirement already satisfied: requests<3,>=2.0.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (2.31.0)\n",
|
||||||
|
"Requirement already satisfied: psutil>=5.0.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (5.9.0)\n",
|
||||||
|
"Requirement already satisfied: sentry-sdk>=1.0.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (1.40.6)\n",
|
||||||
|
"Requirement already satisfied: docker-pycreds>=0.4.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (0.4.0)\n",
|
||||||
|
"Requirement already satisfied: PyYAML in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (6.0.1)\n",
|
||||||
|
"Requirement already satisfied: setproctitle in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (1.3.3)\n",
|
||||||
|
"Requirement already satisfied: setuptools in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (68.0.0)\n",
|
||||||
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"Requirement already satisfied: appdirs>=1.4.3 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (1.4.4)\n",
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"Requirement already satisfied: protobuf!=4.21.0,<5,>=3.19.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from wandb->-r requirements.txt (line 4)) (4.25.3)\n",
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|
"Requirement already satisfied: packaging>=20.9 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from huggingface_hub[cli]->-r requirements.txt (line 7)) (23.2)\n",
|
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|
"Requirement already satisfied: InquirerPy==0.3.4 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from huggingface_hub[cli]->-r requirements.txt (line 7)) (0.3.4)\n",
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"Requirement already satisfied: pfzy<0.4.0,>=0.3.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from InquirerPy==0.3.4->huggingface_hub[cli]->-r requirements.txt (line 7)) (0.3.4)\n",
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"Requirement already satisfied: prompt-toolkit<4.0.0,>=3.0.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from InquirerPy==0.3.4->huggingface_hub[cli]->-r requirements.txt (line 7)) (3.0.42)\n",
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||||||
|
"Requirement already satisfied: six>=1.4.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from docker-pycreds>=0.4.0->wandb->-r requirements.txt (line 4)) (1.16.0)\n",
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"Requirement already satisfied: gitdb<5,>=4.0.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from GitPython!=3.1.29,>=1.0.0->wandb->-r requirements.txt (line 4)) (4.0.11)\n",
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|
"Requirement already satisfied: lightning-utilities<2.0,>=0.8.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from lightning<2.2,>=2.0->gluonts[torch]->-r requirements.txt (line 1)) (0.10.1)\n",
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||||||
|
"Requirement already satisfied: torchmetrics<3.0,>=0.7.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from lightning<2.2,>=2.0->gluonts[torch]->-r requirements.txt (line 1)) (1.3.1)\n",
|
||||||
|
"Requirement already satisfied: annotated-types>=0.4.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from pydantic<3,>=1.7->gluonts[torch]->-r requirements.txt (line 1)) (0.6.0)\n",
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|
"Requirement already satisfied: pydantic-core==2.16.3 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from pydantic<3,>=1.7->gluonts[torch]->-r requirements.txt (line 1)) (2.16.3)\n",
|
||||||
|
"Requirement already satisfied: charset-normalizer<4,>=2 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests<3,>=2.0.0->wandb->-r requirements.txt (line 4)) (3.3.2)\n",
|
||||||
|
"Requirement already satisfied: idna<4,>=2.5 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests<3,>=2.0.0->wandb->-r requirements.txt (line 4)) (3.4)\n",
|
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|
"Requirement already satisfied: urllib3<3,>=1.21.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests<3,>=2.0.0->wandb->-r requirements.txt (line 4)) (2.0.7)\n",
|
||||||
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"Requirement already satisfied: certifi>=2017.4.17 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests<3,>=2.0.0->wandb->-r requirements.txt (line 4)) (2023.7.22)\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from jinja2->torch>=2.0.0->-r requirements.txt (line 3)) (2.1.3)\n",
|
||||||
|
"Requirement already satisfied: mpmath>=0.19 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from sympy->torch>=2.0.0->-r requirements.txt (line 3)) (1.3.0)\n",
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||||||
|
"Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (3.9.3)\n",
|
||||||
|
"Requirement already satisfied: smmap<6,>=3.0.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb->-r requirements.txt (line 4)) (5.0.1)\n",
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"Requirement already satisfied: wcwidth in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from prompt-toolkit<4.0.0,>=3.0.1->InquirerPy==0.3.4->huggingface_hub[cli]->-r requirements.txt (line 7)) (0.2.13)\n",
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||||||
|
"Requirement already satisfied: aiosignal>=1.1.2 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (1.3.1)\n",
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||||||
|
"Requirement already satisfied: attrs>=17.3.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (23.2.0)\n",
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||||||
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"Requirement already satisfied: frozenlist>=1.1.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (1.4.1)\n",
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||||||
|
"Requirement already satisfied: multidict<7.0,>=4.5 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (6.0.5)\n",
|
||||||
|
"Requirement already satisfied: yarl<2.0,>=1.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec->torch>=2.0.0->-r requirements.txt (line 3)) (1.9.4)\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!pip install -r requirements.txt #--quiet # this could take some time # ignore the errors displayed by colab"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 19,
|
||||||
|
"id": "8f10c802-4ffa-40f7-bd62-14ff13fae03c",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Requirement already satisfied: requests in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (2.31.0)\n",
|
||||||
|
"Requirement already satisfied: charset-normalizer<4,>=2 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests) (3.3.2)\n",
|
||||||
|
"Requirement already satisfied: idna<4,>=2.5 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests) (3.4)\n",
|
||||||
|
"Requirement already satisfied: urllib3<3,>=1.21.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests) (2.0.7)\n",
|
||||||
|
"Requirement already satisfied: certifi>=2017.4.17 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from requests) (2023.7.22)\n",
|
||||||
|
"Requirement already satisfied: matplotlib in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (3.8.3)\n",
|
||||||
|
"Requirement already satisfied: contourpy>=1.0.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (1.2.0)\n",
|
||||||
|
"Requirement already satisfied: cycler>=0.10 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (0.12.1)\n",
|
||||||
|
"Requirement already satisfied: fonttools>=4.22.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (4.49.0)\n",
|
||||||
|
"Requirement already satisfied: kiwisolver>=1.3.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (1.4.5)\n",
|
||||||
|
"Requirement already satisfied: numpy<2,>=1.21 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (1.23.5)\n",
|
||||||
|
"Requirement already satisfied: packaging>=20.0 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (23.2)\n",
|
||||||
|
"Requirement already satisfied: pillow>=8 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (10.0.1)\n",
|
||||||
|
"Requirement already satisfied: pyparsing>=2.3.1 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (3.1.2)\n",
|
||||||
|
"Requirement already satisfied: python-dateutil>=2.7 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from matplotlib) (2.9.0)\n",
|
||||||
|
"Requirement already satisfied: six>=1.5 in /config/miniconda3/envs/pygame/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!pip install --upgrade requests\n",
|
||||||
|
"!pip install matplotlib\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 20,
|
||||||
|
"id": "0a64aa15-1477-44bc-b772-a9342a5640c8",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"Consider using `hf_transfer` for faster downloads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.\n",
|
||||||
|
"./lag-llama.ckpt\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"!huggingface-cli download time-series-foundation-models/Lag-Llama lag-llama.ckpt --local-dir ./"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 21,
|
||||||
|
"id": "a328c513-558f-45ca-b900-b669c4ef33ed",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"from itertools import islice\n",
|
||||||
|
"\n",
|
||||||
|
"from matplotlib import pyplot as plt\n",
|
||||||
|
"import matplotlib.dates as mdates\n",
|
||||||
|
"\n",
|
||||||
|
"import torch\n",
|
||||||
|
"from gluonts.evaluation import make_evaluation_predictions, Evaluator\n",
|
||||||
|
"from gluonts.dataset.repository.datasets import get_dataset\n",
|
||||||
|
"\n",
|
||||||
|
"from gluonts.dataset.pandas import PandasDataset\n",
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"\n",
|
||||||
|
"from lag_llama.gluon.estimator import LagLlamaEstimator"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 23,
|
||||||
|
"id": "f098efb9-490c-46b7-9ea3-bea1f2871fa5",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"def get_lag_llama_predictions(dataset, prediction_length, num_samples=100):\n",
|
||||||
|
" ckpt = torch.load(\"lag-llama.ckpt\", map_location=torch.device('cuda:0')) # Uses GPU since in this Colab we use a GPU.\n",
|
||||||
|
" estimator_args = ckpt[\"hyper_parameters\"][\"model_kwargs\"]\n",
|
||||||
|
"\n",
|
||||||
|
" estimator = LagLlamaEstimator(\n",
|
||||||
|
" ckpt_path=\"lag-llama.ckpt\",\n",
|
||||||
|
" prediction_length=prediction_length,\n",
|
||||||
|
" context_length=32, # Should not be changed; this is what the released Lag-Llama model was trained with\n",
|
||||||
|
"\n",
|
||||||
|
" # estimator args\n",
|
||||||
|
" input_size=estimator_args[\"input_size\"],\n",
|
||||||
|
" n_layer=estimator_args[\"n_layer\"],\n",
|
||||||
|
" n_embd_per_head=estimator_args[\"n_embd_per_head\"],\n",
|
||||||
|
" n_head=estimator_args[\"n_head\"],\n",
|
||||||
|
" scaling=estimator_args[\"scaling\"],\n",
|
||||||
|
" time_feat=estimator_args[\"time_feat\"],\n",
|
||||||
|
"\n",
|
||||||
|
" batch_size=1,\n",
|
||||||
|
" num_parallel_samples=100\n",
|
||||||
|
" )\n",
|
||||||
|
"\n",
|
||||||
|
" lightning_module = estimator.create_lightning_module()\n",
|
||||||
|
" transformation = estimator.create_transformation()\n",
|
||||||
|
" predictor = estimator.create_predictor(transformation, lightning_module)\n",
|
||||||
|
"\n",
|
||||||
|
" forecast_it, ts_it = make_evaluation_predictions(\n",
|
||||||
|
" dataset=dataset,\n",
|
||||||
|
" predictor=predictor,\n",
|
||||||
|
" num_samples=num_samples\n",
|
||||||
|
" )\n",
|
||||||
|
" forecasts = list(forecast_it)\n",
|
||||||
|
" tss = list(ts_it)\n",
|
||||||
|
"\n",
|
||||||
|
" return forecasts, tss"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "raw",
|
||||||
|
"id": "e7e6dd60-7c0c-483f-86d4-b2ba7c4104d3",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"from gluonts.dataset.pandas import PandasDataset\n",
|
||||||
|
"\n",
|
||||||
|
"url = (\n",
|
||||||
|
" \"https://gist.githubusercontent.com/rsnirwan/a8b424085c9f44ef2598da74ce43e7a3/raw/b6fdef21fe1f654787fa0493846c546b7f9c4df2/ts_long.csv\"\n",
|
||||||
|
")\n",
|
||||||
|
"df = pd.read_csv(url, index_col=0, parse_dates=True)\n",
|
||||||
|
"# Set numerical columns as float32\n",
|
||||||
|
"for col in df.columns:\n",
|
||||||
|
" # Check if column is not of string type\n",
|
||||||
|
" if df[col].dtype != 'object' and pd.api.types.is_string_dtype(df[col]) == False:\n",
|
||||||
|
" df[col] = df[col].astype('float32')\n",
|
||||||
|
"\n",
|
||||||
|
"# Create the Pandas\n",
|
||||||
|
"dataset = PandasDataset.from_long_dataframe(df, target=\"target\", item_id=\"item_id\")\n",
|
||||||
|
"\n",
|
||||||
|
"backtest_dataset = dataset\n",
|
||||||
|
"prediction_length = 24 # Define your prediction length. We use 24 here since the data is of hourly frequency\n",
|
||||||
|
"num_samples = 100 # number of samples sampled from the probability distribution for each timestep\n",
|
||||||
|
"forecasts, tss = get_lag_llama_predictions(backtest_dataset, prediction_length, num_samples)\n",
|
||||||
|
"len(forecasts)\n",
|
||||||
|
"forecasts[0].samples.shape\n",
|
||||||
|
"plt.figure(figsize=(20, 15))\n",
|
||||||
|
"date_formater = mdates.DateFormatter('%b, %d')\n",
|
||||||
|
"plt.rcParams.update({'font.size': 15})\n",
|
||||||
|
"\n",
|
||||||
|
"# Iterate through the first 9 series, and plot the predicted samples\n",
|
||||||
|
"for idx, (forecast, ts) in islice(enumerate(zip(forecasts, tss)), 9):\n",
|
||||||
|
" ax = plt.subplot(3, 3, idx+1)\n",
|
||||||
|
"\n",
|
||||||
|
" plt.plot(ts[-4 * prediction_length:].to_timestamp(), label=\"target\", )\n",
|
||||||
|
" forecast.plot( color='g')\n",
|
||||||
|
" plt.xticks(rotation=60)\n",
|
||||||
|
" ax.xaxis.set_major_formatter(date_formater)\n",
|
||||||
|
" ax.set_title(forecast.item_id)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.gcf().tight_layout()\n",
|
||||||
|
"plt.legend()\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "raw",
|
||||||
|
"id": "74dc9a03-435e-40a5-bbda-4ddac9f6cfb9",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Set numerical columns as float32\n",
|
||||||
|
"for col in df.columns:\n",
|
||||||
|
" # Check if column is not of string type\n",
|
||||||
|
" if df[col].dtype != 'object' and pd.api.types.is_string_dtype(df[col]) == False:\n",
|
||||||
|
" df[col] = df[col].astype('float32')\n",
|
||||||
|
"\n",
|
||||||
|
"# Create the Pandas\n",
|
||||||
|
"dataset = PandasDataset.from_long_dataframe(df, target=\"target\", item_id=\"item_id\")\n",
|
||||||
|
"\n",
|
||||||
|
"backtest_dataset = dataset\n",
|
||||||
|
"prediction_length = 24 # Define your prediction length. We use 24 here since the data is of hourly frequency\n",
|
||||||
|
"num_samples = 100 # number of samples sampled from the probability distribution for each timestep\n",
|
||||||
|
"forecasts, tss = get_lag_llama_predictions(backtest_dataset, prediction_length, num_samples)\n",
|
||||||
|
"len(forecasts)\n",
|
||||||
|
"forecasts[0].samples.shape\n",
|
||||||
|
"plt.figure(figsize=(20, 15))\n",
|
||||||
|
"date_formater = mdates.DateFormatter('%b, %d')\n",
|
||||||
|
"plt.rcParams.update({'font.size': 15})\n",
|
||||||
|
"\n",
|
||||||
|
"# Iterate through the first 9 series, and plot the predicted samples\n",
|
||||||
|
"for idx, (forecast, ts) in islice(enumerate(zip(forecasts, tss)), 9):\n",
|
||||||
|
" ax = plt.subplot(3, 3, idx+1)\n",
|
||||||
|
"\n",
|
||||||
|
" plt.plot(ts[-4 * prediction_length:].to_timestamp(), label=\"target\", )\n",
|
||||||
|
" forecast.plot( color='g')\n",
|
||||||
|
" plt.xticks(rotation=60)\n",
|
||||||
|
" ax.xaxis.set_major_formatter(date_formater)\n",
|
||||||
|
" ax.set_title(forecast.item_id)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.gcf().tight_layout()\n",
|
||||||
|
"plt.legend()\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "b8be08b6-0cfd-45b5-ac23-142e9f388049",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3 (ipykernel)",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.11.4"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
12
agent-pyter/notes.md
Normal file
12
agent-pyter/notes.md
Normal file
@ -0,0 +1,12 @@
|
|||||||
|
https://github.com/ccxt/ccxt/tree/master/examples/py/
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
playwright._impl._errors.TargetClosedError: Target page, context or browser has been closed
|
||||||
|
Browser logs:
|
||||||
|
|
||||||
|
<launching> /config/.cache/ms-playwright/chromium-1105/chrome-linux/chrome --disable-field-trial-config --disable-background-networking --enable-features=NetworkService,NetworkServiceInProcess --disable-background-timer-throttling --disable-backgrounding-occluded-windows --disable-back-forward-cache --disable-breakpad --disable-client-side-phishing-detection --disable-component-extensions-with-background-pages --disable-component-update --no-default-browser-check --disable-default-apps --disable-dev-shm-usage --disable-extensions --disable-features=ImprovedCookieControls,LazyFrameLoading,GlobalMediaControls,DestroyProfileOnBrowserClose,MediaRouter,DialMediaRouteProvider,AcceptCHFrame,AutoExpandDetailsElement,CertificateTransparencyComponentUpdater,AvoidUnnecessaryBeforeUnloadCheckSync,Translate,HttpsUpgrades,PaintHolding --allow-pre-commit-input --disable-hang-monitor --disable-ipc-flooding-protection --disable-popup-blocking --disable-prompt-on-repost --disable-renderer-backgrounding --force-color-profile=srgb --metrics-recording-only --no-first-run --enable-automation --password-store=basic --use-mock-keychain --no-service-autorun --export-tagged-pdf --disable-search-engine-choice-screen --headless --hide-scrollbars --mute-audio --blink-settings=primaryHoverType=2,availableHoverTypes=2,primaryPointerType=4,availablePointerTypes=4 --no-sandbox --user-data-dir=/tmp/playwright_chromiumdev_profile-kMyQDr --remote-debugging-pipe --no-startup-window
|
||||||
|
<launched> pid=1019347
|
||||||
|
[pid=1019347][err] /config/.cache/ms-playwright/chromium-1105/chrome-linux/chrome: error while loading shared libraries: libnss3.so: cannot open shared object file: No such file or directory
|
||||||
|
[pid=1019347] <process did exit: exitCode=127, signal=null>
|
||||||
|
[pid=1019347] starting temporary directories cleanup
|
||||||
1
agent-pyter/prompts.txt
Normal file
1
agent-pyter/prompts.txt
Normal file
@ -0,0 +1 @@
|
|||||||
|
create python app that will monitor for new pairs on https://dextools.io and trigger event immediately when there is new token
|
||||||
15
config.json
Normal file
15
config.json
Normal file
@ -0,0 +1,15 @@
|
|||||||
|
{
|
||||||
|
"tabAutocompleteModel": {
|
||||||
|
"title": "Tab Autocomplete Model",
|
||||||
|
"provider": "ollama",
|
||||||
|
"model": "stable-code:code",
|
||||||
|
"apiBase": "https://ollama.d-popov.com"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
// original: "tabAutocompleteModel": {
|
||||||
|
// "title": "Starcoder 3b",
|
||||||
|
// "provider": "ollama",
|
||||||
|
// "model": "starcoder-3b"
|
||||||
|
// },
|
||||||
25
crypto/sol/app.py
Normal file
25
crypto/sol/app.py
Normal file
@ -0,0 +1,25 @@
|
|||||||
|
from flask import Flask, render_template, request, jsonify
|
||||||
|
from solana.rpc.api import Client
|
||||||
|
|
||||||
|
app = Flask(__name__)
|
||||||
|
solana_client = Client("https://api.mainnet-beta.solana.com")
|
||||||
|
|
||||||
|
@app.route('/')
|
||||||
|
def index():
|
||||||
|
return render_template('index.html')
|
||||||
|
|
||||||
|
@app.route('/tokens', methods=['GET'])
|
||||||
|
def get_tokens():
|
||||||
|
# Here you would add logic to fetch new tokens or token data
|
||||||
|
return jsonify(['SOL', 'USDC']) # Example token list
|
||||||
|
|
||||||
|
@app.route('/swap', methods=['POST'])
|
||||||
|
def swap_tokens():
|
||||||
|
data = request.json
|
||||||
|
token_name = data['token_name']
|
||||||
|
amount = data['amount']
|
||||||
|
# Here you would add logic to perform the token swap
|
||||||
|
return jsonify({'status': 'success', 'message': f'Swapped {amount} of {token_name}'})
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
app.run(debug=True)
|
||||||
4
crypto/sol/r.txt
Normal file
4
crypto/sol/r.txt
Normal file
@ -0,0 +1,4 @@
|
|||||||
|
flask
|
||||||
|
solana
|
||||||
|
idna
|
||||||
|
httpx
|
||||||
28
crypto/sol/static/app.js
Normal file
28
crypto/sol/static/app.js
Normal file
@ -0,0 +1,28 @@
|
|||||||
|
document.getElementById('connectWallet').addEventListener('click', async () => {
|
||||||
|
try {
|
||||||
|
const { solana } is window;
|
||||||
|
if (solana && solana.isPhantom) {
|
||||||
|
const response = await solana.connect({ onlyIfTrusted: true });
|
||||||
|
console.log('Connected with Public Key:', response.publicKey.toString());
|
||||||
|
} else {
|
||||||
|
alert('Phantom wallet not found. Please install it.');
|
||||||
|
}
|
||||||
|
} catch (error) {
|
||||||
|
console.error(error);
|
||||||
|
alert('Connection to Phantom Wallet failed');
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
document.getElementById('swapToken').addEventListener('click', () => {
|
||||||
|
const tokenName = document.getElementById('tokenName').value;
|
||||||
|
const amount = document.getElementById('amount').value;
|
||||||
|
fetch('/swap', {
|
||||||
|
method: 'POST',
|
||||||
|
headers: {
|
||||||
|
'Content-Type': 'application/json'
|
||||||
|
},
|
||||||
|
body: JSON.stringify({token_name: tokenName, amount: amount})
|
||||||
|
})
|
||||||
|
.then(response => response.json())
|
||||||
|
.then(data => alert(data.message));
|
||||||
|
});
|
||||||
21
crypto/sol/templates/index.html
Normal file
21
crypto/sol/templates/index.html
Normal file
@ -0,0 +1,21 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<title>Token Swapper</title>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<h1>Token Swapper</h1>
|
||||||
|
<div>
|
||||||
|
<button id="connectWallet">Connect Phantom Wallet</button>
|
||||||
|
</div>
|
||||||
|
<div>
|
||||||
|
<input type="text" id="tokenName" placeholder="Enter Token Name">
|
||||||
|
<input type="number" id="amount" placeholder="Enter Amount">
|
||||||
|
<button id="swapToken">Swap Token</button>
|
||||||
|
</div>
|
||||||
|
<script src="https://cdn.jsdelivr.net/npm/@solana/web3.js"></script>
|
||||||
|
<script src="app.js"></script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
@ -9,7 +9,7 @@ services:
|
|||||||
dockerfile: ./Dockerfile
|
dockerfile: ./Dockerfile
|
||||||
environment:
|
environment:
|
||||||
NODE_ENV: production
|
NODE_ENV: production
|
||||||
TTS_BACKEND_URL: http://192.168.0.10:9009/asr
|
# TTS_BACKEND_URL: http://192.168.0.10:9009/asr
|
||||||
WS_URL: ws://192.168.0.10:28081
|
WS_URL: ws://192.168.0.10:28081
|
||||||
SERVER_PORT_WS: 8081
|
SERVER_PORT_WS: 8081
|
||||||
SERVER_PORT_HTTP: 8080
|
SERVER_PORT_HTTP: 8080
|
||||||
|
|||||||
@ -11,6 +11,8 @@ class Neo4jConnection:
|
|||||||
# Create the schema
|
# Create the schema
|
||||||
self.create_schema()
|
self.create_schema()
|
||||||
|
|
||||||
|
self.test_retrieval()
|
||||||
|
|
||||||
# Close the connection
|
# Close the connection
|
||||||
self.close()
|
self.close()
|
||||||
|
|
||||||
@ -21,11 +23,13 @@ class Neo4jConnection:
|
|||||||
with self.driver.session() as session:
|
with self.driver.session() as session:
|
||||||
session.write_transaction(self._create_constraints_and_indexes)
|
session.write_transaction(self._create_constraints_and_indexes)
|
||||||
|
|
||||||
|
def test_retrieval(tx):
|
||||||
|
#run MATCH (n) RETURN n LIMIT 25
|
||||||
|
result = tx.run("MATCH (n) RETURN n LIMIT 25;")
|
||||||
|
|
||||||
|
|
||||||
@staticmethod
|
@staticmethod
|
||||||
def _create_constraints_and_indexes(tx):
|
def _create_constraints_and_indexes(tx):
|
||||||
# Constraints and indexes for Person
|
|
||||||
tx.run("CREATE CONSTRAINT ON (p:Person) ASSERT p.person_id IS UNIQUE;")
|
|
||||||
|
|
||||||
# Constraints and indexes for Memory
|
# Constraints and indexes for Memory
|
||||||
tx.run("CREATE CONSTRAINT ON (m:Memory) ASSERT m.memory_id IS UNIQUE;")
|
tx.run("CREATE CONSTRAINT ON (m:Memory) ASSERT m.memory_id IS UNIQUE;")
|
||||||
tx.run("CREATE INDEX ON :Memory(content);")
|
tx.run("CREATE INDEX ON :Memory(content);")
|
||||||
|
|||||||
@ -1,10 +1,3 @@
|
|||||||
class Person:
|
|
||||||
def __init__(self, person_id, name, age):
|
|
||||||
self.person_id = person_id
|
|
||||||
self.name = name
|
|
||||||
self.age = age
|
|
||||||
|
|
||||||
|
|
||||||
class Memory:
|
class Memory:
|
||||||
def __init__(self, memory_id, content, timestamp, importance, relevance, associated_tags):
|
def __init__(self, memory_id, content, timestamp, importance, relevance, associated_tags):
|
||||||
self.memory_id = memory_id
|
self.memory_id = memory_id
|
||||||
|
|||||||
270
package-lock.json
generated
270
package-lock.json
generated
@ -8,15 +8,60 @@
|
|||||||
"name": "kevin-ai",
|
"name": "kevin-ai",
|
||||||
"version": "1.0.0",
|
"version": "1.0.0",
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
|
"axios": "^1.7.2",
|
||||||
"body-parser": "^1.20.2",
|
"body-parser": "^1.20.2",
|
||||||
"dotenv": "^16.0.3",
|
"dotenv": "^16.4.5",
|
||||||
"express": "^4.18.2",
|
"express": "^4.18.2",
|
||||||
"git": "^0.1.5",
|
"git": "^0.1.5",
|
||||||
|
"groq-sdk": "^0.4.0",
|
||||||
"node-persist": "^3.1.3",
|
"node-persist": "^3.1.3",
|
||||||
|
"ollama": "^0.5.1",
|
||||||
|
"openai": "^4.50.0",
|
||||||
"request": "^2.88.2",
|
"request": "^2.88.2",
|
||||||
"ws": "^8.12.1"
|
"ws": "^8.12.1"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/@types/node": {
|
||||||
|
"version": "18.19.34",
|
||||||
|
"resolved": "https://registry.npmjs.org/@types/node/-/node-18.19.34.tgz",
|
||||||
|
"integrity": "sha512-eXF4pfBNV5DAMKGbI02NnDtWrQ40hAN558/2vvS4gMpMIxaf6JmD7YjnZbq0Q9TDSSkKBamime8ewRoomHdt4g==",
|
||||||
|
"dependencies": {
|
||||||
|
"undici-types": "~5.26.4"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/@types/node-fetch": {
|
||||||
|
"version": "2.6.11",
|
||||||
|
"resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
|
||||||
|
"integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
|
||||||
|
"dependencies": {
|
||||||
|
"@types/node": "*",
|
||||||
|
"form-data": "^4.0.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/@types/node-fetch/node_modules/form-data": {
|
||||||
|
"version": "4.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
|
||||||
|
"integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
|
||||||
|
"dependencies": {
|
||||||
|
"asynckit": "^0.4.0",
|
||||||
|
"combined-stream": "^1.0.8",
|
||||||
|
"mime-types": "^2.1.12"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 6"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/abort-controller": {
|
||||||
|
"version": "3.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/abort-controller/-/abort-controller-3.0.0.tgz",
|
||||||
|
"integrity": "sha512-h8lQ8tacZYnR3vNQTgibj+tODHI5/+l06Au2Pcriv/Gmet0eaj4TwWH41sO9wnHDiQsEj19q0drzdWdeAHtweg==",
|
||||||
|
"dependencies": {
|
||||||
|
"event-target-shim": "^5.0.0"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": ">=6.5"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/accepts": {
|
"node_modules/accepts": {
|
||||||
"version": "1.3.8",
|
"version": "1.3.8",
|
||||||
"resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz",
|
"resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz",
|
||||||
@ -29,6 +74,17 @@
|
|||||||
"node": ">= 0.6"
|
"node": ">= 0.6"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/agentkeepalive": {
|
||||||
|
"version": "4.5.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/agentkeepalive/-/agentkeepalive-4.5.0.tgz",
|
||||||
|
"integrity": "sha512-5GG/5IbQQpC9FpkRGsSvZI5QYeSCzlJHdpBQntCsuTOxhKD8lqKhrleg2Yi7yvMIf82Ycmmqln9U8V9qwEiJew==",
|
||||||
|
"dependencies": {
|
||||||
|
"humanize-ms": "^1.2.1"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 8.0.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/ajv": {
|
"node_modules/ajv": {
|
||||||
"version": "6.12.6",
|
"version": "6.12.6",
|
||||||
"resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
|
"resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz",
|
||||||
@ -83,6 +139,29 @@
|
|||||||
"resolved": "https://registry.npmjs.org/aws4/-/aws4-1.12.0.tgz",
|
"resolved": "https://registry.npmjs.org/aws4/-/aws4-1.12.0.tgz",
|
||||||
"integrity": "sha512-NmWvPnx0F1SfrQbYwOi7OeaNGokp9XhzNioJ/CSBs8Qa4vxug81mhJEAVZwxXuBmYB5KDRfMq/F3RR0BIU7sWg=="
|
"integrity": "sha512-NmWvPnx0F1SfrQbYwOi7OeaNGokp9XhzNioJ/CSBs8Qa4vxug81mhJEAVZwxXuBmYB5KDRfMq/F3RR0BIU7sWg=="
|
||||||
},
|
},
|
||||||
|
"node_modules/axios": {
|
||||||
|
"version": "1.7.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/axios/-/axios-1.7.2.tgz",
|
||||||
|
"integrity": "sha512-2A8QhOMrbomlDuiLeK9XibIBzuHeRcqqNOHp0Cyp5EoJ1IFDh+XZH3A6BkXtv0K4gFGCI0Y4BM7B1wOEi0Rmgw==",
|
||||||
|
"dependencies": {
|
||||||
|
"follow-redirects": "^1.15.6",
|
||||||
|
"form-data": "^4.0.0",
|
||||||
|
"proxy-from-env": "^1.1.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/axios/node_modules/form-data": {
|
||||||
|
"version": "4.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
|
||||||
|
"integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
|
||||||
|
"dependencies": {
|
||||||
|
"asynckit": "^0.4.0",
|
||||||
|
"combined-stream": "^1.0.8",
|
||||||
|
"mime-types": "^2.1.12"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 6"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/bcrypt-pbkdf": {
|
"node_modules/bcrypt-pbkdf": {
|
||||||
"version": "1.0.2",
|
"version": "1.0.2",
|
||||||
"resolved": "https://registry.npmjs.org/bcrypt-pbkdf/-/bcrypt-pbkdf-1.0.2.tgz",
|
"resolved": "https://registry.npmjs.org/bcrypt-pbkdf/-/bcrypt-pbkdf-1.0.2.tgz",
|
||||||
@ -246,11 +325,14 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"node_modules/dotenv": {
|
"node_modules/dotenv": {
|
||||||
"version": "16.0.3",
|
"version": "16.4.5",
|
||||||
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
|
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz",
|
||||||
"integrity": "sha512-7GO6HghkA5fYG9TYnNxi14/7K9f5occMlp3zXAuSxn7CKCxt9xbNWG7yF8hTCSUchlfWSe3uLmlPfigevRItzQ==",
|
"integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==",
|
||||||
"engines": {
|
"engines": {
|
||||||
"node": ">=12"
|
"node": ">=12"
|
||||||
|
},
|
||||||
|
"funding": {
|
||||||
|
"url": "https://dotenvx.com"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"node_modules/ecc-jsbn": {
|
"node_modules/ecc-jsbn": {
|
||||||
@ -288,6 +370,14 @@
|
|||||||
"node": ">= 0.6"
|
"node": ">= 0.6"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/event-target-shim": {
|
||||||
|
"version": "5.0.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/event-target-shim/-/event-target-shim-5.0.1.tgz",
|
||||||
|
"integrity": "sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ==",
|
||||||
|
"engines": {
|
||||||
|
"node": ">=6"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/express": {
|
"node_modules/express": {
|
||||||
"version": "4.18.2",
|
"version": "4.18.2",
|
||||||
"resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
|
"resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
|
||||||
@ -406,6 +496,25 @@
|
|||||||
"node": ">= 0.8"
|
"node": ">= 0.8"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/follow-redirects": {
|
||||||
|
"version": "1.15.6",
|
||||||
|
"resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.6.tgz",
|
||||||
|
"integrity": "sha512-wWN62YITEaOpSK584EZXJafH1AGpO8RVgElfkuXbTOrPX4fIfOyEpW/CsiNd8JdYrAoOvafRTOEnvsO++qCqFA==",
|
||||||
|
"funding": [
|
||||||
|
{
|
||||||
|
"type": "individual",
|
||||||
|
"url": "https://github.com/sponsors/RubenVerborgh"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"engines": {
|
||||||
|
"node": ">=4.0"
|
||||||
|
},
|
||||||
|
"peerDependenciesMeta": {
|
||||||
|
"debug": {
|
||||||
|
"optional": true
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/forever-agent": {
|
"node_modules/forever-agent": {
|
||||||
"version": "0.6.1",
|
"version": "0.6.1",
|
||||||
"resolved": "https://registry.npmjs.org/forever-agent/-/forever-agent-0.6.1.tgz",
|
"resolved": "https://registry.npmjs.org/forever-agent/-/forever-agent-0.6.1.tgz",
|
||||||
@ -427,6 +536,31 @@
|
|||||||
"node": ">= 0.12"
|
"node": ">= 0.12"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/form-data-encoder": {
|
||||||
|
"version": "1.7.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/form-data-encoder/-/form-data-encoder-1.7.2.tgz",
|
||||||
|
"integrity": "sha512-qfqtYan3rxrnCk1VYaA4H+Ms9xdpPqvLZa6xmMgFvhO32x7/3J/ExcTd6qpxM0vH2GdMI+poehyBZvqfMTto8A=="
|
||||||
|
},
|
||||||
|
"node_modules/formdata-node": {
|
||||||
|
"version": "4.4.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/formdata-node/-/formdata-node-4.4.1.tgz",
|
||||||
|
"integrity": "sha512-0iirZp3uVDjVGt9p49aTaqjk84TrglENEDuqfdlZQ1roC9CWlPk6Avf8EEnZNcAqPonwkG35x4n3ww/1THYAeQ==",
|
||||||
|
"dependencies": {
|
||||||
|
"node-domexception": "1.0.0",
|
||||||
|
"web-streams-polyfill": "4.0.0-beta.3"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 12.20"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/formdata-node/node_modules/web-streams-polyfill": {
|
||||||
|
"version": "4.0.0-beta.3",
|
||||||
|
"resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.3.tgz",
|
||||||
|
"integrity": "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==",
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 14"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/forwarded": {
|
"node_modules/forwarded": {
|
||||||
"version": "0.2.0",
|
"version": "0.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/forwarded/-/forwarded-0.2.0.tgz",
|
"resolved": "https://registry.npmjs.org/forwarded/-/forwarded-0.2.0.tgz",
|
||||||
@ -485,6 +619,21 @@
|
|||||||
"resolved": "https://registry.npmjs.org/mime/-/mime-1.2.9.tgz",
|
"resolved": "https://registry.npmjs.org/mime/-/mime-1.2.9.tgz",
|
||||||
"integrity": "sha512-WiLgbHTIq5AYUvU/Luli4mZ1bUcHpGNHyCsbl+KPMg4zt+XUDpQehWjuBjdLaEvDTinvKj/FgfQt3fPoT7j08g=="
|
"integrity": "sha512-WiLgbHTIq5AYUvU/Luli4mZ1bUcHpGNHyCsbl+KPMg4zt+XUDpQehWjuBjdLaEvDTinvKj/FgfQt3fPoT7j08g=="
|
||||||
},
|
},
|
||||||
|
"node_modules/groq-sdk": {
|
||||||
|
"version": "0.4.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/groq-sdk/-/groq-sdk-0.4.0.tgz",
|
||||||
|
"integrity": "sha512-h79q9sv4hcOBESR05N5eqHlGhAug9H9lr3EIiB+37ysWWekeG+KYQDK2lIIHYCm6O9LzgZzO/VdLdPP298+T0w==",
|
||||||
|
"dependencies": {
|
||||||
|
"@types/node": "^18.11.18",
|
||||||
|
"@types/node-fetch": "^2.6.4",
|
||||||
|
"abort-controller": "^3.0.0",
|
||||||
|
"agentkeepalive": "^4.2.1",
|
||||||
|
"form-data-encoder": "1.7.2",
|
||||||
|
"formdata-node": "^4.3.2",
|
||||||
|
"node-fetch": "^2.6.7",
|
||||||
|
"web-streams-polyfill": "^3.2.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/har-schema": {
|
"node_modules/har-schema": {
|
||||||
"version": "2.0.0",
|
"version": "2.0.0",
|
||||||
"resolved": "https://registry.npmjs.org/har-schema/-/har-schema-2.0.0.tgz",
|
"resolved": "https://registry.npmjs.org/har-schema/-/har-schema-2.0.0.tgz",
|
||||||
@ -557,6 +706,14 @@
|
|||||||
"npm": ">=1.3.7"
|
"npm": ">=1.3.7"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/humanize-ms": {
|
||||||
|
"version": "1.2.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/humanize-ms/-/humanize-ms-1.2.1.tgz",
|
||||||
|
"integrity": "sha512-Fl70vYtsAFb/C06PTS9dZBo7ihau+Tu/DNCk/OyHhea07S+aeMWpFFkUaXRa8fI+ScZbEI8dfSxwY7gxZ9SAVQ==",
|
||||||
|
"dependencies": {
|
||||||
|
"ms": "^2.0.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/iconv-lite": {
|
"node_modules/iconv-lite": {
|
||||||
"version": "0.4.24",
|
"version": "0.4.24",
|
||||||
"resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz",
|
"resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz",
|
||||||
@ -689,6 +846,43 @@
|
|||||||
"node": ">= 0.6"
|
"node": ">= 0.6"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/node-domexception": {
|
||||||
|
"version": "1.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
|
||||||
|
"integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
|
||||||
|
"funding": [
|
||||||
|
{
|
||||||
|
"type": "github",
|
||||||
|
"url": "https://github.com/sponsors/jimmywarting"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"type": "github",
|
||||||
|
"url": "https://paypal.me/jimmywarting"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"engines": {
|
||||||
|
"node": ">=10.5.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/node-fetch": {
|
||||||
|
"version": "2.7.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
|
||||||
|
"integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
|
||||||
|
"dependencies": {
|
||||||
|
"whatwg-url": "^5.0.0"
|
||||||
|
},
|
||||||
|
"engines": {
|
||||||
|
"node": "4.x || >=6.0.0"
|
||||||
|
},
|
||||||
|
"peerDependencies": {
|
||||||
|
"encoding": "^0.1.0"
|
||||||
|
},
|
||||||
|
"peerDependenciesMeta": {
|
||||||
|
"encoding": {
|
||||||
|
"optional": true
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/node-gyp-build": {
|
"node_modules/node-gyp-build": {
|
||||||
"version": "4.6.0",
|
"version": "4.6.0",
|
||||||
"resolved": "https://registry.npmjs.org/node-gyp-build/-/node-gyp-build-4.6.0.tgz",
|
"resolved": "https://registry.npmjs.org/node-gyp-build/-/node-gyp-build-4.6.0.tgz",
|
||||||
@ -725,6 +919,14 @@
|
|||||||
"url": "https://github.com/sponsors/ljharb"
|
"url": "https://github.com/sponsors/ljharb"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/ollama": {
|
||||||
|
"version": "0.5.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/ollama/-/ollama-0.5.1.tgz",
|
||||||
|
"integrity": "sha512-mAiCHxdvu63E8EFopz0y82QG7rGfYmKAWgmjG2C7soiRuz/Sj3r/ebvCOp+jasiCubqUPE0ZThKT5LR6wrrPtA==",
|
||||||
|
"dependencies": {
|
||||||
|
"whatwg-fetch": "^3.6.20"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/on-finished": {
|
"node_modules/on-finished": {
|
||||||
"version": "2.4.1",
|
"version": "2.4.1",
|
||||||
"resolved": "https://registry.npmjs.org/on-finished/-/on-finished-2.4.1.tgz",
|
"resolved": "https://registry.npmjs.org/on-finished/-/on-finished-2.4.1.tgz",
|
||||||
@ -736,6 +938,24 @@
|
|||||||
"node": ">= 0.8"
|
"node": ">= 0.8"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/openai": {
|
||||||
|
"version": "4.50.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/openai/-/openai-4.50.0.tgz",
|
||||||
|
"integrity": "sha512-2ADkNIU6Q589oYHr5pn9k7SbUcrBTK9X0rIXrYqwMVSoqOj1yK9/1OO0ExaWsqOOpD7o58UmRjeKlx9gKAcuKQ==",
|
||||||
|
"dependencies": {
|
||||||
|
"@types/node": "^18.11.18",
|
||||||
|
"@types/node-fetch": "^2.6.4",
|
||||||
|
"abort-controller": "^3.0.0",
|
||||||
|
"agentkeepalive": "^4.2.1",
|
||||||
|
"form-data-encoder": "1.7.2",
|
||||||
|
"formdata-node": "^4.3.2",
|
||||||
|
"node-fetch": "^2.6.7",
|
||||||
|
"web-streams-polyfill": "^3.2.1"
|
||||||
|
},
|
||||||
|
"bin": {
|
||||||
|
"openai": "bin/cli"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/parseurl": {
|
"node_modules/parseurl": {
|
||||||
"version": "1.3.3",
|
"version": "1.3.3",
|
||||||
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
|
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
|
||||||
@ -766,6 +986,11 @@
|
|||||||
"node": ">= 0.10"
|
"node": ">= 0.10"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/proxy-from-env": {
|
||||||
|
"version": "1.1.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
|
||||||
|
"integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
|
||||||
|
},
|
||||||
"node_modules/psl": {
|
"node_modules/psl": {
|
||||||
"version": "1.9.0",
|
"version": "1.9.0",
|
||||||
"resolved": "https://registry.npmjs.org/psl/-/psl-1.9.0.tgz",
|
"resolved": "https://registry.npmjs.org/psl/-/psl-1.9.0.tgz",
|
||||||
@ -990,6 +1215,11 @@
|
|||||||
"node": ">=0.8"
|
"node": ">=0.8"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/tr46": {
|
||||||
|
"version": "0.0.3",
|
||||||
|
"resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
|
||||||
|
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
|
||||||
|
},
|
||||||
"node_modules/tunnel-agent": {
|
"node_modules/tunnel-agent": {
|
||||||
"version": "0.6.0",
|
"version": "0.6.0",
|
||||||
"resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
|
"resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
|
||||||
@ -1018,6 +1248,11 @@
|
|||||||
"node": ">= 0.6"
|
"node": ">= 0.6"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/undici-types": {
|
||||||
|
"version": "5.26.5",
|
||||||
|
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
|
||||||
|
"integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="
|
||||||
|
},
|
||||||
"node_modules/unpipe": {
|
"node_modules/unpipe": {
|
||||||
"version": "1.0.0",
|
"version": "1.0.0",
|
||||||
"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
|
"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
|
||||||
@ -1086,6 +1321,33 @@
|
|||||||
"extsprintf": "^1.2.0"
|
"extsprintf": "^1.2.0"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
|
"node_modules/web-streams-polyfill": {
|
||||||
|
"version": "3.3.3",
|
||||||
|
"resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
|
||||||
|
"integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
|
||||||
|
"engines": {
|
||||||
|
"node": ">= 8"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"node_modules/webidl-conversions": {
|
||||||
|
"version": "3.0.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
|
||||||
|
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
|
||||||
|
},
|
||||||
|
"node_modules/whatwg-fetch": {
|
||||||
|
"version": "3.6.20",
|
||||||
|
"resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.20.tgz",
|
||||||
|
"integrity": "sha512-EqhiFU6daOA8kpjOWTL0olhVOF3i7OrFzSYiGsEMB8GcXS+RrzauAERX65xMeNWVqxA6HXH2m69Z9LaKKdisfg=="
|
||||||
|
},
|
||||||
|
"node_modules/whatwg-url": {
|
||||||
|
"version": "5.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
|
||||||
|
"integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
|
||||||
|
"dependencies": {
|
||||||
|
"tr46": "~0.0.3",
|
||||||
|
"webidl-conversions": "^3.0.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
"node_modules/ws": {
|
"node_modules/ws": {
|
||||||
"version": "8.12.1",
|
"version": "8.12.1",
|
||||||
"resolved": "https://registry.npmjs.org/ws/-/ws-8.12.1.tgz",
|
"resolved": "https://registry.npmjs.org/ws/-/ws-8.12.1.tgz",
|
||||||
|
|||||||
@ -8,11 +8,15 @@
|
|||||||
"start:tele": "python agent-py-bot/agent.py"
|
"start:tele": "python agent-py-bot/agent.py"
|
||||||
},
|
},
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
|
"axios": "^1.7.2",
|
||||||
"body-parser": "^1.20.2",
|
"body-parser": "^1.20.2",
|
||||||
"dotenv": "^16.0.3",
|
"dotenv": "^16.4.5",
|
||||||
"express": "^4.18.2",
|
"express": "^4.18.2",
|
||||||
"git": "^0.1.5",
|
"git": "^0.1.5",
|
||||||
|
"groq-sdk": "^0.4.0",
|
||||||
"node-persist": "^3.1.3",
|
"node-persist": "^3.1.3",
|
||||||
|
"ollama": "^0.5.1",
|
||||||
|
"openai": "^4.50.0",
|
||||||
"request": "^2.88.2",
|
"request": "^2.88.2",
|
||||||
"ws": "^8.12.1"
|
"ws": "^8.12.1"
|
||||||
}
|
}
|
||||||
|
|||||||
16
translate-nllb/nllb.py
Normal file
16
translate-nllb/nllb.py
Normal file
@ -0,0 +1,16 @@
|
|||||||
|
# conda activate transformers
|
||||||
|
# conda install pip
|
||||||
|
# pip install https://github.com/huggingface/transformers/archive/nllb.zip -q
|
||||||
|
# pip install transformers
|
||||||
|
|
||||||
|
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
|
||||||
|
|
||||||
|
model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
|
||||||
|
|
||||||
|
translator = pipeline('translation', model=model, tokenizer=tokenizer, src_lang="tam_Taml", tgt_lang='eng_Latn', max_length = 400)
|
||||||
|
translator("திஸ் ஐஸ் எ வெரி குட் மாடல் ")
|
||||||
|
|
||||||
|
# --------------------------------------------
|
||||||
|
https://colab.research.google.com/drive/1o9r0QbEQZ1tn4eBVv-wajAtgwi6Lp-ZJ?usp=sharing#scrollTo=q49lJjXd4Jct
|
||||||
|
https://colab.research.google.com/drive/1QEF0U9AaBeQdjLw7SyRty2ENAD4Qiiil#scrollTo=TFm232e77QRT
|
||||||
22
web/.env
Normal file
22
web/.env
Normal file
@ -0,0 +1,22 @@
|
|||||||
|
|
||||||
|
TTS_BACKEND_URL=https://api.tts.d-popov.com/
|
||||||
|
WS_URL=ws://localhost:8081
|
||||||
|
SERVER_PORT_WS=8081
|
||||||
|
SERVER_PORT_HTTP=3005
|
||||||
|
|
||||||
|
# aider
|
||||||
|
AIDER_MODEL=
|
||||||
|
AIDER_4=false
|
||||||
|
#AIDER_35TURBO=
|
||||||
|
|
||||||
|
# OPENAI_API_KEY=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
|
||||||
|
# OPENAI_API_BASE=https://api.deepseek.com/v1
|
||||||
|
# OPENAI_API_KEY=sk-99df7736351f4536bd72cd64a416318a
|
||||||
|
# AIDER_MODEL=deepseek-coder #deepseek-coder, deepseek-chat
|
||||||
|
|
||||||
|
|
||||||
|
GROQ_API_KEY=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
|
||||||
|
aider --model groq/llama3-70b-8192
|
||||||
|
|
||||||
|
# List models available from Groq
|
||||||
|
aider --models groq/
|
||||||
201
web/audio.js
Normal file
201
web/audio.js
Normal file
@ -0,0 +1,201 @@
|
|||||||
|
let selectedDeviceId = "default";
|
||||||
|
export let serverTime;
|
||||||
|
export let recordButton;
|
||||||
|
export let socket;
|
||||||
|
let audioRecorder;
|
||||||
|
let audioStream;
|
||||||
|
let recording = false;
|
||||||
|
let connectionStatus;
|
||||||
|
let statusRecording;
|
||||||
|
let audioContext;
|
||||||
|
let volumeChecker;
|
||||||
|
let lastVolumes = new Array(5);
|
||||||
|
let averageVolume;
|
||||||
|
let silenceCount = 0;
|
||||||
|
let isSpeaking = false;
|
||||||
|
let soundDetected = false;
|
||||||
|
let speakingCount = 0;
|
||||||
|
let analyser = null;
|
||||||
|
|
||||||
|
let SILENCE_DELAY_MS = 50;
|
||||||
|
let preDetect_IncludedAudio = 400; //ms
|
||||||
|
let soundCount_Threshold = 10;
|
||||||
|
let silenceCount_Threshold = 10;
|
||||||
|
|
||||||
|
const volumeHistory = [];
|
||||||
|
|
||||||
|
export function setSocket(newSocket) {
|
||||||
|
socket = newSocket;
|
||||||
|
}
|
||||||
|
export function setRecordButton(newRecordButton) {
|
||||||
|
recordButton = newRecordButton;
|
||||||
|
recordButton.addEventListener("click", toggleListening);
|
||||||
|
}
|
||||||
|
|
||||||
|
export function InitAudioAnalyser(stream) {
|
||||||
|
audioContext = new AudioContext();
|
||||||
|
const source = audioContext.createMediaStreamSource(stream);
|
||||||
|
analyser = audioContext.createAnalyser();
|
||||||
|
analyser.fftSize = 2048;
|
||||||
|
analyser.smoothingTimeConstant = 0.8;
|
||||||
|
source.connect(analyser);
|
||||||
|
}
|
||||||
|
|
||||||
|
export function startListening() {
|
||||||
|
recording = true;
|
||||||
|
navigator.mediaDevices.getUserMedia({ audio: { sampleRate: 16000 } })
|
||||||
|
.then((stream) => {
|
||||||
|
audioStream = stream;
|
||||||
|
|
||||||
|
const audioContext = new AudioContext();
|
||||||
|
const sourceNode = audioContext.createMediaStreamSource(audioStream);
|
||||||
|
const audioSampleRate = sourceNode.context.sampleRate;
|
||||||
|
|
||||||
|
info.innerHTML = "Sample rate: " + audioSampleRate + " Hz";
|
||||||
|
var preBuffer = [];
|
||||||
|
|
||||||
|
const channelSplitter = audioContext.createChannelSplitter(2);
|
||||||
|
const channelMerger = audioContext.createChannelMerger(1);
|
||||||
|
sourceNode.connect(channelSplitter);
|
||||||
|
channelSplitter.connect(channelMerger, 0, 0);
|
||||||
|
const outputNode = channelMerger;
|
||||||
|
|
||||||
|
const mediaStreamDestination = audioContext.createMediaStreamDestination();
|
||||||
|
outputNode.connect(mediaStreamDestination);
|
||||||
|
const singleChannelStream = mediaStreamDestination.stream;
|
||||||
|
|
||||||
|
audioRecorder = new MediaRecorder(singleChannelStream);
|
||||||
|
audioRecorder.start();
|
||||||
|
audioRecorder.addEventListener("dataavailable", (event) => {
|
||||||
|
if (!soundDetected && autosend.checked) {
|
||||||
|
preBuffer = [];
|
||||||
|
preBuffer.push(event.data);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (event.data.size > 0) {
|
||||||
|
let data = event.data;
|
||||||
|
if (preBuffer.length > 0) {
|
||||||
|
sendAudioToServerPost(preBuffer);
|
||||||
|
}
|
||||||
|
sendAudioToServer(data);
|
||||||
|
soundDetected = false;
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
InitAudioAnalyser(stream);
|
||||||
|
});
|
||||||
|
|
||||||
|
recordButton.innerHTML = "Stop Talking";
|
||||||
|
recordButton.classList.toggle('bg-red-500');
|
||||||
|
recordButton.classList.toggle('bg-blue-500');
|
||||||
|
recordButton.classList.toggle('hover:bg-blue-700');
|
||||||
|
}
|
||||||
|
|
||||||
|
export function stopListening() {
|
||||||
|
recording = false;
|
||||||
|
audioRecorder.stop();
|
||||||
|
recordButton.innerHTML = "Push to Talk";
|
||||||
|
recordButton.classList.toggle('bg-blue-500');
|
||||||
|
recordButton.classList.toggle('bg-red-500');
|
||||||
|
recordButton.classList.toggle('hover:bg-blue-700');
|
||||||
|
clearInterval(volumeChecker);
|
||||||
|
if (audioStream) {
|
||||||
|
audioStream.getTracks().forEach(track => track.stop());
|
||||||
|
audioStream = null;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function sendAudioToServerPost(data) {
|
||||||
|
const blob = new Blob(data, { type: "audio/ogg; codecs=opus" });
|
||||||
|
var formData = new FormData();
|
||||||
|
formData.append('file', data);
|
||||||
|
fetch('/upload', {
|
||||||
|
method: 'POST',
|
||||||
|
body: formData
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
export function sendAudioToServerJson(data) {
|
||||||
|
if (socket && socket.readyState === WebSocket.OPEN) {
|
||||||
|
|
||||||
|
const binaryData = Buffer.from(base64AudioData, 'base64');
|
||||||
|
socket.send(JSON.stringify({ type: 'audio', audiobase64: binaryData }));
|
||||||
|
serverTime = Date.now();
|
||||||
|
if (!autosend.checked) {
|
||||||
|
transcription.placeholder = "Processing audio...";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
export function sendAudioToServer(data) {
|
||||||
|
if (socket && socket.readyState === WebSocket.OPEN) {
|
||||||
|
socket.send(data);
|
||||||
|
serverTime = Date.now();
|
||||||
|
if (!autosend.checked) {
|
||||||
|
transcription.placeholder = "Processing audio...";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function toggleListening() {
|
||||||
|
if (socket.readyState === WebSocket.OPEN) {
|
||||||
|
if (recording) {
|
||||||
|
stopListening();
|
||||||
|
} else {
|
||||||
|
startListening();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function initializeVolumeChecker() {
|
||||||
|
volumeChecker = setInterval(() => {
|
||||||
|
if (!audioContext) {
|
||||||
|
console.log("No audio context");
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
const frequencyData = new Uint8Array(analyser.frequencyBinCount);
|
||||||
|
analyser.getByteFrequencyData(frequencyData);
|
||||||
|
|
||||||
|
let totalVolume = 0;
|
||||||
|
for (let i = 0; i < frequencyData.length; i++) {
|
||||||
|
totalVolume += frequencyData[i];
|
||||||
|
}
|
||||||
|
averageVolume = totalVolume / frequencyData.length;
|
||||||
|
|
||||||
|
volumeHistory.push(averageVolume);
|
||||||
|
if (volumeHistory.length > 100) {
|
||||||
|
volumeHistory.shift();
|
||||||
|
}
|
||||||
|
|
||||||
|
const threshold = volumeHistory.reduce((acc, curr) => acc + curr) / volumeHistory.length + 5;
|
||||||
|
const isSilent = averageVolume < threshold;
|
||||||
|
|
||||||
|
if (averageVolume > threshold) {
|
||||||
|
if (autosend.checked && speakingCount == 0 && audioRecorder) {
|
||||||
|
soundDetected = false;
|
||||||
|
audioRecorder.stop();
|
||||||
|
audioRecorder.start();
|
||||||
|
}
|
||||||
|
speakingCount++;
|
||||||
|
if (speakingCount > soundCount_Threshold) {
|
||||||
|
statusRecording.innerHTML = "Listening...";
|
||||||
|
statusRecording.style.color = "green";
|
||||||
|
isSpeaking = true;
|
||||||
|
}
|
||||||
|
} else if (averageVolume - 5 < threshold) {
|
||||||
|
speakingCount = 0;
|
||||||
|
if (isSpeaking) {
|
||||||
|
silenceCount++;
|
||||||
|
if (silenceCount > silenceCount_Threshold) {
|
||||||
|
if (autosend.checked) {
|
||||||
|
soundDetected = true;
|
||||||
|
audioRecorder.stop();
|
||||||
|
audioRecorder.start();
|
||||||
|
}
|
||||||
|
isSpeaking = false;
|
||||||
|
statusRecording.innerHTML = "Silence detected...";
|
||||||
|
statusRecording.style.color = "orange";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}, SILENCE_DELAY_MS);
|
||||||
|
}
|
||||||
615
web/chat-client.html
Normal file
615
web/chat-client.html
Normal file
@ -0,0 +1,615 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html>
|
||||||
|
|
||||||
|
<head>
|
||||||
|
<title>Real-time Voice Chat</title>
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||||
|
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/tailwindcss/2.2.19/tailwind.min.css">
|
||||||
|
</head>
|
||||||
|
|
||||||
|
<body class="bg-gray-100">
|
||||||
|
<div class="container mx-auto px-4 py-8">
|
||||||
|
<h1 class="text-2xl font-bold mb-4 text-center">Real-time Voice Chat</h1>
|
||||||
|
|
||||||
|
<div class="flex justify-center items-center mb-4">
|
||||||
|
<!-- Username Input -->
|
||||||
|
<input type="text" id="username" class="border rounded p-2 mr-4" placeholder="Enter your username">
|
||||||
|
<div id="join-container" class="hidden">
|
||||||
|
<button id="btn-join" onclick="logInAndStoreSession()"
|
||||||
|
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded">Join Chat</button>
|
||||||
|
<select id="language-select">
|
||||||
|
<option value="auto">Auto</option>
|
||||||
|
<option value="en">English</option>
|
||||||
|
<option value="bg">Български</option>
|
||||||
|
<option value="fr">Français</option>
|
||||||
|
</select>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
|
||||||
|
<!-- Clear Session Option -->
|
||||||
|
<button id="btn-disconnect" onclick="clearSession()"
|
||||||
|
class="hidden bg-red-500 hover:bg-red-700 text-white font-bold py-2 px-4 rounded">Clear Session</button>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Active Users List -->
|
||||||
|
<div id="active-users-container" class="hidden flex justify-center items-center mb-4">
|
||||||
|
<div class="w-1/3">
|
||||||
|
<h2 class="text-xl font-bold mb-2">Active Users</h2>
|
||||||
|
<select id="users-list" class="w-full bg-white p-4 rounded shadow" multiple size="10">
|
||||||
|
<!-- Dynamic list of users -->
|
||||||
|
</select>
|
||||||
|
<button onclick="startChat()"
|
||||||
|
class="bg-green-500 hover:bg-green-700 text-white font-bold py-2 px-4 rounded mt-4">Start
|
||||||
|
Chat</button>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div id="previous-chats-container" class="hidden w-2/3 mx-auto">
|
||||||
|
<h2 class="text-xl font-bold mb-2">Previous Chats</h2>
|
||||||
|
<div id="previous-chats" class="bg-white p-4 rounded shadow">
|
||||||
|
<!-- Previous chats content -->
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Chat Room -->
|
||||||
|
<div id="chat-room-container" class="hidden w-2/3 mx-auto">
|
||||||
|
<h2 class="text-xl font-bold mb-2">Chat Room</h2>
|
||||||
|
<div id="chat-room" class="bg-white p-4 rounded shadow mb-4">
|
||||||
|
<!-- Chat room content -->
|
||||||
|
<div>
|
||||||
|
<div id="chat-room-users" class="flex flex-wrap mb-4">
|
||||||
|
<!-- Participants list -->
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div class="mb-4">
|
||||||
|
<label class="flex items-center space-x-2">
|
||||||
|
<input type="checkbox" id="autosend" class="mr-2">
|
||||||
|
<span>Continuous</span>
|
||||||
|
</label>
|
||||||
|
</div>
|
||||||
|
<div class="mb-4">
|
||||||
|
<button id="record-button" disabled
|
||||||
|
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mr-4">Push to
|
||||||
|
Talk</button>
|
||||||
|
</div>
|
||||||
|
<div id="status-recording" class="flex justify-center items-center mb-4">
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div id="transcription" class="border rounded p-4 h-48 overflow-y-scroll mb-4">
|
||||||
|
<!-- Transcription content -->
|
||||||
|
</div>
|
||||||
|
<canvas id="canvas" class="w-full mb-4"></canvas>
|
||||||
|
<div class="flex justify-between items-center">
|
||||||
|
<button id="copyButton"
|
||||||
|
class="bg-gray-200 hover:bg-gray-300 text-gray-700 font-medium py-2 px-4 rounded focus:outline-none"
|
||||||
|
onclick="copyToClipboard('transcription')">Copy</button>
|
||||||
|
<button id="clearButton"
|
||||||
|
class="bg-gray-200 hover:bg-gray-300 text-gray-700 font-medium py-2 px-4 rounded focus:outline-none"
|
||||||
|
onclick="clearTranscription()">Clear</button>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<!-- Connection Status and Info -->
|
||||||
|
<div class="flex justify-center items-center mb-4">
|
||||||
|
<div id="connection-status" class="mr-4"></div>
|
||||||
|
</div>
|
||||||
|
<div class="flex justify-center items-center mb-4">
|
||||||
|
<div id="info"></div>
|
||||||
|
</div>
|
||||||
|
<div id="status-recording" class="flex justify-center items-center mb-4"> status</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<script type="module">
|
||||||
|
// import * as audio from './audio.js';
|
||||||
|
|
||||||
|
let socket;
|
||||||
|
let sessionId;
|
||||||
|
let username;
|
||||||
|
let users = [];
|
||||||
|
let selectedUsers = [];
|
||||||
|
let chats = [];
|
||||||
|
let recordButton;
|
||||||
|
let connectionStatus;
|
||||||
|
let statusRecording;
|
||||||
|
let connected = false;
|
||||||
|
|
||||||
|
document.getElementById('autosend').addEventListener('change', (event) => {
|
||||||
|
const autosend = event.target.checked;
|
||||||
|
fetch('/settings', {
|
||||||
|
method: 'POST',
|
||||||
|
body: JSON.stringify({ autosend, sessionId }),
|
||||||
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
credentials: 'same-origin'
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
function connect() {
|
||||||
|
return new Promise((resolve, reject) => {
|
||||||
|
connectionStatus.innerHTML = "Connecting to WS...";
|
||||||
|
let wsurl = "ws://localhost:8081";
|
||||||
|
fetch("/wsurl")
|
||||||
|
.then((response) => response.text())
|
||||||
|
.then((data) => {
|
||||||
|
wsurl = data;
|
||||||
|
console.log("Got ws url: '" + wsurl + "'");
|
||||||
|
})
|
||||||
|
.then(() => {
|
||||||
|
socket = new WebSocket(wsurl);
|
||||||
|
// audio.setSocket(socket); // Set the socket in the audio module
|
||||||
|
socket.onopen = () => {
|
||||||
|
connectionStatus.innerHTML = "Connected to " + wsurl;
|
||||||
|
recordButton.disabled = false;
|
||||||
|
connected = true;
|
||||||
|
//if we stored a session id in a cookie, reconnect
|
||||||
|
const sessionId = getCookie("sessionId");
|
||||||
|
if (sessionId) {
|
||||||
|
socket.send(JSON.stringify({ type: 'reconnect', sessionId }));
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
socket.send(JSON.stringify({ type: 'sessionId' }));
|
||||||
|
}
|
||||||
|
resolve(socket);
|
||||||
|
};
|
||||||
|
socket.onmessage = onmessage;
|
||||||
|
socket.onclose = () => {
|
||||||
|
connectionStatus.innerHTML = "Disconnected";
|
||||||
|
recordButton.disabled = true;
|
||||||
|
connected = false;
|
||||||
|
setTimeout(() => {
|
||||||
|
connect().then(resolve).catch(reject);
|
||||||
|
}, 5000);
|
||||||
|
};
|
||||||
|
})
|
||||||
|
.catch((error) => {
|
||||||
|
connectionStatus.innerHTML = "Error getting ws url: " + error;
|
||||||
|
reject(error);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
};
|
||||||
|
|
||||||
|
function onmessage(event) {
|
||||||
|
try {
|
||||||
|
let json = JSON.parse(event.data);
|
||||||
|
switch (json.type) {
|
||||||
|
case "sessionId":
|
||||||
|
sessionId = json.sessionId;
|
||||||
|
//set the session id in the cookie
|
||||||
|
document.cookie = `sessionId=${sessionId}; path=/;`;
|
||||||
|
console.log("Got session id: " + sessionId);
|
||||||
|
break;
|
||||||
|
case "languageDetected":
|
||||||
|
statusRecording.innerHTML = "Detected language: " + json.languageDetected;
|
||||||
|
break;
|
||||||
|
case "text":
|
||||||
|
case "transcriptionResult":
|
||||||
|
transcription.innerHTML += "<br />" + json.text;
|
||||||
|
let latency = Date.now() - serverTime;
|
||||||
|
if (autosend.checked) {
|
||||||
|
// const arr = event.data.split(/[(\)]/);
|
||||||
|
// let queue = arr[1];
|
||||||
|
// let text = arr[2].trim();
|
||||||
|
// info.innerHTML = "latency: " + latency + "ms; server queue: " + queue + " requests";
|
||||||
|
//transcription.value += event.data + " ";
|
||||||
|
statusRecording.innerHTML = "Listening...";
|
||||||
|
statusRecording.style.color = "black";
|
||||||
|
} else {
|
||||||
|
//transcription.innerHTML = event.data;
|
||||||
|
}
|
||||||
|
break;
|
||||||
|
case 'audio':
|
||||||
|
const audioBuffer = Uint8Array.from(atob(json.audio), char => char.charCodeAt(0));
|
||||||
|
const audioBlob = new Blob([audioBuffer], { type: 'audio/mp3' });
|
||||||
|
const audioUrl = URL.createObjectURL(audioBlob);
|
||||||
|
const audio = new Audio(audioUrl);
|
||||||
|
audio.play();
|
||||||
|
break;
|
||||||
|
|
||||||
|
case "userList":
|
||||||
|
users = json.users;
|
||||||
|
updateUserList();
|
||||||
|
break;
|
||||||
|
case "chats":
|
||||||
|
chats = json.chats;
|
||||||
|
updateChatList();
|
||||||
|
break;
|
||||||
|
case "chat":
|
||||||
|
displayChatParticipants(json.chat.id, json.chat.participants);
|
||||||
|
break;
|
||||||
|
default:
|
||||||
|
console.log("Unknown message type:", json.type);
|
||||||
|
}
|
||||||
|
} catch (e) {
|
||||||
|
console.error("Failed to parse message", e);
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
function logInAndStoreSession() {
|
||||||
|
username = document.getElementById('username').value;
|
||||||
|
if (username.trim() === "") {
|
||||||
|
alert("Please enter a username");
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (!socket || socket.readyState !== WebSocket.OPEN) {
|
||||||
|
connect().then(() => {
|
||||||
|
userJoin(sessionId, username, document.getElementById('language-select').value);
|
||||||
|
});
|
||||||
|
} else {
|
||||||
|
userJoin(sessionId, username, document.getElementById('language-select').value);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function userJoin(sessionId, username, language) {
|
||||||
|
socket.send(JSON.stringify({ type: 'join', username, language }));
|
||||||
|
document.cookie = `sessionId=${sessionId}; path=/;`;
|
||||||
|
document.cookie = `username=${username}; path=/;`;
|
||||||
|
|
||||||
|
showClearSessionOption();
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
function clearSession() {
|
||||||
|
document.cookie = "sessionId=; expires=Thu, 01 Jan 1970 00:00:00 UTC; path=/;";
|
||||||
|
document.cookie = "username=; expires=Thu, 01 Jan 1970 00:00:00 UTC; path=/;";
|
||||||
|
location.reload();
|
||||||
|
}
|
||||||
|
|
||||||
|
function showClearSessionOption() {
|
||||||
|
const sessionId = getCookie("sessionId");
|
||||||
|
if (sessionId) {
|
||||||
|
if (!socket || socket.readyState !== WebSocket.OPEN) {
|
||||||
|
connect().then((s) => {
|
||||||
|
s.send(JSON.stringify({ type: 'reconnect', sessionId }));
|
||||||
|
});
|
||||||
|
}
|
||||||
|
document.getElementById('btn-disconnect').classList.remove('hidden');
|
||||||
|
document.getElementById('join-container').classList.add('hidden');
|
||||||
|
|
||||||
|
document.getElementById('active-users-container').classList.remove('hidden');
|
||||||
|
document.getElementById('previous-chats-container').classList.remove('hidden');
|
||||||
|
|
||||||
|
} else {
|
||||||
|
document.getElementById('btn-disconnect').classList.add('hidden');
|
||||||
|
document.getElementById('join-container').classList.remove('hidden');
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function getCookie(name) {
|
||||||
|
const value = `; ${document.cookie}`;
|
||||||
|
const parts = value.split(`; ${name}=`);
|
||||||
|
if (parts.length === 2) return parts.pop().split(';').shift();
|
||||||
|
}
|
||||||
|
|
||||||
|
window.onload = () => {
|
||||||
|
recordButton = document.getElementById("record-button");
|
||||||
|
setRecordButton(recordButton);
|
||||||
|
connectionStatus = document.getElementById("connection-status");
|
||||||
|
statusRecording = document.getElementById("status-recording");
|
||||||
|
|
||||||
|
showClearSessionOption();
|
||||||
|
connect().then(() => {
|
||||||
|
// audio.initializeVolumeChecker();
|
||||||
|
});
|
||||||
|
};
|
||||||
|
|
||||||
|
function copyToClipboard(id) {
|
||||||
|
var textarea = document.getElementById(id);
|
||||||
|
textarea.select();
|
||||||
|
document.execCommand('copy');
|
||||||
|
}
|
||||||
|
|
||||||
|
function clearTranscription() {
|
||||||
|
document.getElementById('transcription').innerText = '';
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateUserList() {
|
||||||
|
const usersList = document.getElementById('users-list');
|
||||||
|
usersList.innerHTML = '';
|
||||||
|
users.forEach(user => {
|
||||||
|
const option = document.createElement('option');
|
||||||
|
option.value = user.sessionId;
|
||||||
|
option.innerText = "[" + user.language + "] " + user.username;
|
||||||
|
if (user.username === username) {
|
||||||
|
option.innerText += " (me)";
|
||||||
|
}
|
||||||
|
usersList.appendChild(option);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function startChat() {
|
||||||
|
const selectedOptions = Array.from(document.querySelectorAll('#users-list option:checked'));
|
||||||
|
selectedUsers = selectedOptions.map(option => option.value);
|
||||||
|
if (selectedUsers.length === 0) {
|
||||||
|
alert("Please select at least one user to start a chat.");
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
selectedUsers.push(sessionId); // Add self to the selected users list for self-chat
|
||||||
|
socket.send(JSON.stringify({ type: 'startChat', users: selectedUsers }));
|
||||||
|
document.getElementById('chat-room-container').classList.remove('hidden');
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
function fetchPreviousChats(username) {
|
||||||
|
fetch(`/chats?username=${username}`)
|
||||||
|
.then(response => response.json())
|
||||||
|
.then(data => {
|
||||||
|
chats = data.chats;
|
||||||
|
updateChatList();
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function updateChatList() {
|
||||||
|
const previousChats = document.getElementById('previous-chats');
|
||||||
|
previousChats.innerHTML = '';
|
||||||
|
chats.forEach(chat => {
|
||||||
|
const chatDiv = document.createElement('div');
|
||||||
|
chatDiv.classList.add('border', 'rounded', 'p-2', 'mb-2', 'cursor-pointer');
|
||||||
|
chatDiv.setAttribute('data-chat-id', chat.id); // Store chat ID in data attribute
|
||||||
|
|
||||||
|
const participants = chat.participants.join(', ');
|
||||||
|
const status = chat.participants.map(participant => {
|
||||||
|
const user = users.find(u => u.username === participant);
|
||||||
|
return user ? `${participant} (online)` : `${participant} (offline)`;
|
||||||
|
}).join(', ');
|
||||||
|
|
||||||
|
chatDiv.innerHTML = `${status}`;
|
||||||
|
|
||||||
|
chatDiv.addEventListener('click', () => {
|
||||||
|
// Remove highlight from all chat divs
|
||||||
|
document.querySelectorAll('#previous-chats > div').forEach(div => {
|
||||||
|
div.classList.remove('bg-blue-100');
|
||||||
|
});
|
||||||
|
// Highlight selected chat div
|
||||||
|
chatDiv.classList.add('bg-blue-100');
|
||||||
|
selectChatRoom(chat.id);
|
||||||
|
});
|
||||||
|
|
||||||
|
previousChats.appendChild(chatDiv);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function selectChatRoom(chatId) {
|
||||||
|
const chat = chats.find(c => c.id === chatId);
|
||||||
|
if (!chat) return;
|
||||||
|
|
||||||
|
const chatRoomUsers = document.getElementById('chat-room-users');
|
||||||
|
chatRoomUsers.innerHTML = ''; // Clear existing content
|
||||||
|
|
||||||
|
socket.send(JSON.stringify({ type: 'enterChat', chatId }));
|
||||||
|
document.getElementById('chat-room-container').classList.remove('hidden');
|
||||||
|
// displayChatParticipants(chatId, chat.participants);
|
||||||
|
}
|
||||||
|
|
||||||
|
function displayChatParticipants(chatId, participants) {
|
||||||
|
const chatRoomUsers = document.getElementById('chat-room-users');
|
||||||
|
let participantsHtml = '<div class="flex flex-wrap mb-4">';
|
||||||
|
participants.forEach(participantId => {
|
||||||
|
const user = users.find(u => u.sessionId === participantId);
|
||||||
|
const status = user ? "online" : "offline";
|
||||||
|
const username = user ? user.username : "Unknown User";
|
||||||
|
participantsHtml += `<span class="inline-flex items-center px-3 py-0.5 rounded-full text-sm font-medium bg-${status === 'online' ? 'green' : 'gray'}-100 text-${status === 'online' ? 'green' : 'gray'}-800 mr-2 mb-2">
|
||||||
|
${username} (${status})
|
||||||
|
</span>`;
|
||||||
|
});
|
||||||
|
participantsHtml += '</div>';
|
||||||
|
chatRoomUsers.innerHTML = participantsHtml;
|
||||||
|
}
|
||||||
|
|
||||||
|
// REGION AUDIO RECORDING
|
||||||
|
let selectedDeviceId = "default";
|
||||||
|
export let serverTime;
|
||||||
|
// export let recordButton;
|
||||||
|
// export let socket;
|
||||||
|
// let connectionStatus;
|
||||||
|
// let statusRecording;
|
||||||
|
let audioRecorder;
|
||||||
|
let audioStream;
|
||||||
|
let recording = false;
|
||||||
|
let audioContext;
|
||||||
|
let volumeChecker;
|
||||||
|
let lastVolumes = new Array(5);
|
||||||
|
let averageVolume;
|
||||||
|
let silenceCount = 0;
|
||||||
|
let isSpeaking = false;
|
||||||
|
let soundDetected = false;
|
||||||
|
let speakingCount = 0;
|
||||||
|
let analyser = null;
|
||||||
|
|
||||||
|
let SILENCE_DELAY_MS = 50;
|
||||||
|
let preDetect_IncludedAudio = 400; //ms
|
||||||
|
let soundCount_Threshold = 10;
|
||||||
|
let silenceCount_Threshold = 10;
|
||||||
|
|
||||||
|
const volumeHistory = [];
|
||||||
|
|
||||||
|
function setSocket(newSocket) {
|
||||||
|
socket = newSocket;
|
||||||
|
}
|
||||||
|
export function setRecordButton(newRecordButton) {
|
||||||
|
recordButton = newRecordButton;
|
||||||
|
recordButton.addEventListener("click", toggleListening);
|
||||||
|
}
|
||||||
|
|
||||||
|
export function InitAudioAnalyser(stream) {
|
||||||
|
audioContext = new AudioContext();
|
||||||
|
const source = audioContext.createMediaStreamSource(stream);
|
||||||
|
analyser = audioContext.createAnalyser();
|
||||||
|
analyser.fftSize = 2048;
|
||||||
|
analyser.smoothingTimeConstant = 0.8;
|
||||||
|
source.connect(analyser);
|
||||||
|
}
|
||||||
|
|
||||||
|
export function startListening() {
|
||||||
|
recording = true;
|
||||||
|
navigator.mediaDevices.getUserMedia({ audio: { sampleRate: 16000 } })
|
||||||
|
.then((stream) => {
|
||||||
|
audioStream = stream;
|
||||||
|
|
||||||
|
const audioContext = new AudioContext();
|
||||||
|
const sourceNode = audioContext.createMediaStreamSource(audioStream);
|
||||||
|
const audioSampleRate = sourceNode.context.sampleRate;
|
||||||
|
|
||||||
|
info.innerHTML = "Sample rate: " + audioSampleRate + " Hz";
|
||||||
|
var preBuffer = [];
|
||||||
|
|
||||||
|
const channelSplitter = audioContext.createChannelSplitter(2);
|
||||||
|
const channelMerger = audioContext.createChannelMerger(1);
|
||||||
|
sourceNode.connect(channelSplitter);
|
||||||
|
channelSplitter.connect(channelMerger, 0, 0);
|
||||||
|
const outputNode = channelMerger;
|
||||||
|
|
||||||
|
const mediaStreamDestination = audioContext.createMediaStreamDestination();
|
||||||
|
outputNode.connect(mediaStreamDestination);
|
||||||
|
const singleChannelStream = mediaStreamDestination.stream;
|
||||||
|
|
||||||
|
audioRecorder = new MediaRecorder(singleChannelStream);
|
||||||
|
audioRecorder.start();
|
||||||
|
audioRecorder.addEventListener("dataavailable", (event) => {
|
||||||
|
if (!soundDetected && autosend.checked) {
|
||||||
|
preBuffer = [];
|
||||||
|
preBuffer.push(event.data);
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
if (event.data.size > 0) {
|
||||||
|
let data = event.data;
|
||||||
|
if (preBuffer.length > 0) {
|
||||||
|
sendAudioToServerPost(preBuffer);
|
||||||
|
}
|
||||||
|
sendAudioToServer(data);
|
||||||
|
soundDetected = false;
|
||||||
|
}
|
||||||
|
});
|
||||||
|
|
||||||
|
InitAudioAnalyser(stream);
|
||||||
|
});
|
||||||
|
|
||||||
|
recordButton.innerHTML = "Stop Talking";
|
||||||
|
recordButton.classList.toggle('bg-red-500');
|
||||||
|
recordButton.classList.toggle('bg-blue-500');
|
||||||
|
recordButton.classList.toggle('hover:bg-blue-700');
|
||||||
|
}
|
||||||
|
|
||||||
|
export function stopListening() {
|
||||||
|
recording = false;
|
||||||
|
audioRecorder.stop();
|
||||||
|
recordButton.innerHTML = "Push to Talk";
|
||||||
|
recordButton.classList.toggle('bg-blue-500');
|
||||||
|
recordButton.classList.toggle('bg-red-500');
|
||||||
|
recordButton.classList.toggle('hover:bg-blue-700');
|
||||||
|
clearInterval(volumeChecker);
|
||||||
|
if (audioStream) {
|
||||||
|
audioStream.getTracks().forEach(track => track.stop());
|
||||||
|
audioStream = null;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function sendAudioToServerPost(data) {
|
||||||
|
const blob = new Blob(data, { type: "audio/ogg; codecs=opus" });
|
||||||
|
var formData = new FormData();
|
||||||
|
formData.append('file', data);
|
||||||
|
fetch('/upload', {
|
||||||
|
method: 'POST',
|
||||||
|
body: formData
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
export function sendAudioToServerJson(data) {
|
||||||
|
if (socket && socket.readyState === WebSocket.OPEN) {
|
||||||
|
|
||||||
|
const binaryData = Buffer.from(base64AudioData, 'base64');
|
||||||
|
socket.send(JSON.stringify({ type: 'audio', audiobase64: binaryData }));
|
||||||
|
serverTime = Date.now();
|
||||||
|
if (!autosend.checked) {
|
||||||
|
transcription.placeholder = "Processing audio...";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
export function sendAudioToServer(data) {
|
||||||
|
if (socket && socket.readyState === WebSocket.OPEN) {
|
||||||
|
socket.send(data);
|
||||||
|
serverTime = Date.now();
|
||||||
|
if (!autosend.checked) {
|
||||||
|
transcription.placeholder = "Processing audio...";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function toggleListening() {
|
||||||
|
if (socket.readyState === WebSocket.OPEN) {
|
||||||
|
if (recording) {
|
||||||
|
stopListening();
|
||||||
|
} else {
|
||||||
|
startListening();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export function initializeVolumeChecker() {
|
||||||
|
volumeChecker = setInterval(() => {
|
||||||
|
if (!audioContext) {
|
||||||
|
console.log("No audio context");
|
||||||
|
return;
|
||||||
|
}
|
||||||
|
const frequencyData = new Uint8Array(analyser.frequencyBinCount);
|
||||||
|
analyser.getByteFrequencyData(frequencyData);
|
||||||
|
|
||||||
|
let totalVolume = 0;
|
||||||
|
for (let i = 0; i < frequencyData.length; i++) {
|
||||||
|
totalVolume += frequencyData[i];
|
||||||
|
}
|
||||||
|
averageVolume = totalVolume / frequencyData.length;
|
||||||
|
|
||||||
|
volumeHistory.push(averageVolume);
|
||||||
|
if (volumeHistory.length > 100) {
|
||||||
|
volumeHistory.shift();
|
||||||
|
}
|
||||||
|
|
||||||
|
const threshold = volumeHistory.reduce((acc, curr) => acc + curr) / volumeHistory.length + 5;
|
||||||
|
const isSilent = averageVolume < threshold;
|
||||||
|
|
||||||
|
if (averageVolume > threshold) {
|
||||||
|
if (autosend.checked && speakingCount == 0 && audioRecorder) {
|
||||||
|
soundDetected = false;
|
||||||
|
audioRecorder.stop();
|
||||||
|
audioRecorder.start();
|
||||||
|
}
|
||||||
|
speakingCount++;
|
||||||
|
if (speakingCount > soundCount_Threshold) {
|
||||||
|
statusRecording.innerHTML = "Listening...";
|
||||||
|
statusRecording.style.color = "green";
|
||||||
|
isSpeaking = true;
|
||||||
|
}
|
||||||
|
} else if (averageVolume - 5 < threshold) {
|
||||||
|
speakingCount = 0;
|
||||||
|
if (isSpeaking) {
|
||||||
|
silenceCount++;
|
||||||
|
if (silenceCount > silenceCount_Threshold) {
|
||||||
|
if (autosend.checked) {
|
||||||
|
soundDetected = true;
|
||||||
|
audioRecorder.stop();
|
||||||
|
audioRecorder.start();
|
||||||
|
}
|
||||||
|
isSpeaking = false;
|
||||||
|
statusRecording.innerHTML = "Silence detected...";
|
||||||
|
statusRecording.style.color = "orange";
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}, SILENCE_DELAY_MS);
|
||||||
|
}
|
||||||
|
|
||||||
|
// Expose functions to global scope
|
||||||
|
window.logInAndStoreSession = logInAndStoreSession;
|
||||||
|
window.clearSession = clearSession;
|
||||||
|
window.copyToClipboard = copyToClipboard;
|
||||||
|
window.clearTranscription = clearTranscription;
|
||||||
|
window.startChat = startChat;
|
||||||
|
</script>
|
||||||
|
|
||||||
|
<script src="https://cdn.webrtc-experiment.com/MediaStreamRecorder.js"></script>
|
||||||
|
</body>
|
||||||
|
|
||||||
|
</html>
|
||||||
399
web/chat-server.js
Normal file
399
web/chat-server.js
Normal file
@ -0,0 +1,399 @@
|
|||||||
|
const express = require('express');
|
||||||
|
const bodyParser = require('body-parser');
|
||||||
|
const WebSocket = require('ws');
|
||||||
|
const storage = require('node-persist');
|
||||||
|
const request = require('request');
|
||||||
|
const fs = require('fs');
|
||||||
|
const path = require('path');
|
||||||
|
const dotenv = require('dotenv');
|
||||||
|
const ollama = require('ollama');
|
||||||
|
const axios = require('axios');
|
||||||
|
const OpenAI = require('openai');
|
||||||
|
const Groq = require('groq-sdk');
|
||||||
|
|
||||||
|
// Load environment variables
|
||||||
|
dotenv.config({ path: `.env${process.env.NODE_ENV === 'development' ? '.development' : ''}` });
|
||||||
|
|
||||||
|
// Initialize services
|
||||||
|
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
|
||||||
|
const groq = new Groq({ apiKey: process.env.GROQ_API_KEY });
|
||||||
|
|
||||||
|
// Express setup
|
||||||
|
const app = express();
|
||||||
|
app.use(bodyParser.json());
|
||||||
|
|
||||||
|
// Configuration constants
|
||||||
|
const PORT_HTTP = process.env.SERVER_PORT_HTTP || 3000;
|
||||||
|
const PORT_WS = process.env.SERVER_PORT_WS || 8080;
|
||||||
|
const TTS_API_URL = process.env.TTS_API_URL;
|
||||||
|
const LNN_API_URL = process.env.LNN_API_URL;
|
||||||
|
const LLN_MODEL = process.env.LLN_MODEL;
|
||||||
|
|
||||||
|
let language = "en";
|
||||||
|
let storeRecordings = false;
|
||||||
|
let queueCounter = 0;
|
||||||
|
|
||||||
|
const sessions = new Map();
|
||||||
|
const chats = new Map(); // Store chat rooms
|
||||||
|
|
||||||
|
// Initialize storage and load initial values
|
||||||
|
async function initStorage() {
|
||||||
|
await storage.init();
|
||||||
|
language = await storage.getItem('language') || language;
|
||||||
|
storeRecordings = await storage.getItem('storeRecordings') || storeRecordings;
|
||||||
|
|
||||||
|
const storedChats = await storage.getItem('chats') || [];
|
||||||
|
storedChats.forEach(chat => chats.set(chat.id, chat));
|
||||||
|
|
||||||
|
const storedSessions = await storage.getItem('sessions') || [];
|
||||||
|
storedSessions.forEach(session => sessions.set(session.sessionId, session));
|
||||||
|
}
|
||||||
|
|
||||||
|
initStorage();
|
||||||
|
|
||||||
|
// WebSocket Server
|
||||||
|
const wss = new WebSocket.Server({ port: PORT_WS });
|
||||||
|
wss.on('connection', ws => {
|
||||||
|
ws.on('message', async message => handleMessage(ws, message));
|
||||||
|
ws.on('close', () => handleClose(ws));
|
||||||
|
});
|
||||||
|
|
||||||
|
// Handle WebSocket messages
|
||||||
|
async function handleMessage(ws, message) {
|
||||||
|
let data;
|
||||||
|
try {
|
||||||
|
data = JSON.parse(message);
|
||||||
|
} catch {
|
||||||
|
return handleAudioData(ws, message);
|
||||||
|
}
|
||||||
|
|
||||||
|
try {
|
||||||
|
switch (data.type) {
|
||||||
|
case 'sessionId':
|
||||||
|
await handleSessionId(ws);
|
||||||
|
break;
|
||||||
|
case 'join':
|
||||||
|
await handleJoin(ws, data);
|
||||||
|
break;
|
||||||
|
case 'startChat':
|
||||||
|
await handleStartChat(ws, data);
|
||||||
|
break;
|
||||||
|
case 'enterChat':
|
||||||
|
await handleEnterChat(ws, data);
|
||||||
|
break;
|
||||||
|
case 'reconnect':
|
||||||
|
await handleReconnect(ws, data);
|
||||||
|
break;
|
||||||
|
default:
|
||||||
|
console.log('Unknown message type:', data.type);
|
||||||
|
}
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Failed to handle message', err);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
function handleClose(ws) {
|
||||||
|
sessions.delete(ws.sessionId);
|
||||||
|
broadcastUserList();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Handlers for specific message types
|
||||||
|
async function handleSessionId(ws) {
|
||||||
|
ws.sessionId = generateSessionId();
|
||||||
|
sessions.set(ws.sessionId, { language: 'en' });
|
||||||
|
await storage.setItem('sessions', Array.from(sessions.values()));
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleJoin(ws, { username, language }) {
|
||||||
|
sessions.set(ws.sessionId, { username, sessionId: ws.sessionId, language });
|
||||||
|
ws.send(JSON.stringify({ type: 'sessionId', sessionId: ws.sessionId, language, storeRecordings }));
|
||||||
|
|
||||||
|
const userChats = Array.from(chats.values()).filter(chat => chat.participants.includes(ws.sessionId));
|
||||||
|
ws.send(JSON.stringify({ type: 'chats', chats: userChats }));
|
||||||
|
|
||||||
|
broadcastUserList();
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleStartChat(ws, { users }) {
|
||||||
|
const chatId = generateChatId();
|
||||||
|
let participants = [ws.sessionId, ...users];
|
||||||
|
participants = [...new Set(participants)];
|
||||||
|
|
||||||
|
chats.set(chatId, { participants, messages: [] });
|
||||||
|
await storage.setItem('chats', Array.from(chats.values()));
|
||||||
|
|
||||||
|
notifyParticipants(participants);
|
||||||
|
broadcastUserList();
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleEnterChat(ws, { chatId }) {
|
||||||
|
const enteredChat = chats.get(chatId);
|
||||||
|
const currentSession = sessions.get(ws.sessionId);
|
||||||
|
currentSession.currentChat = chatId;
|
||||||
|
if (enteredChat && enteredChat.participants.includes(ws.sessionId)) {
|
||||||
|
ws.send(JSON.stringify({ type: 'chat', chat: enteredChat }));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleReconnect(ws, { sessionId }) {
|
||||||
|
const userSession = sessions.get(sessionId);
|
||||||
|
if (userSession) {
|
||||||
|
sessions.set(ws.sessionId, userSession);
|
||||||
|
ws.sessionId = sessionId;
|
||||||
|
const userChats = Array.from(chats.values()).filter(chat => chat.participants.includes(ws.sessionId));
|
||||||
|
ws.send(JSON.stringify({ type: 'chats', chats: userChats }));
|
||||||
|
} else {
|
||||||
|
console.log('Session not found:', sessionId);
|
||||||
|
}
|
||||||
|
broadcastUserList();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Utility functions
|
||||||
|
function generateSessionId() {
|
||||||
|
return Math.random().toString(36).substring(2);
|
||||||
|
}
|
||||||
|
|
||||||
|
function generateChatId() {
|
||||||
|
return Math.random().toString(36).substring(2);
|
||||||
|
}
|
||||||
|
|
||||||
|
function broadcastUserList() {
|
||||||
|
const userList = Array.from(sessions.values()).map(user => ({
|
||||||
|
username: user.username,
|
||||||
|
sessionId: user.sessionId,
|
||||||
|
currentChat: user.currentChat,
|
||||||
|
language: user.language
|
||||||
|
}));
|
||||||
|
|
||||||
|
wss.clients.forEach(client => {
|
||||||
|
if (client.readyState === WebSocket.OPEN) {
|
||||||
|
client.send(JSON.stringify({ type: 'userList', users: userList }));
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
function notifyParticipants(participants) {
|
||||||
|
participants.forEach(sessionId => {
|
||||||
|
const participantSocket = Array.from(wss.clients).find(client => client.sessionId === sessionId);
|
||||||
|
if (participantSocket && participantSocket.readyState === WebSocket.OPEN) {
|
||||||
|
const userChats = Array.from(chats.entries())
|
||||||
|
.filter(([id, chat]) => chat.participants.includes(sessionId))
|
||||||
|
.map(([id, chat]) => ({ id, participants: chat.participants }));
|
||||||
|
participantSocket.send(JSON.stringify({ type: 'chats', chats: userChats }));
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleAudioData(ws, data) {
|
||||||
|
const sessionData = sessions.get(ws.sessionId);
|
||||||
|
let { language, task } = sessionData;
|
||||||
|
|
||||||
|
const formData = {
|
||||||
|
task: task || 'transcribe',
|
||||||
|
language,
|
||||||
|
vad_filter: 'true',
|
||||||
|
output: 'json',
|
||||||
|
audio_file: {
|
||||||
|
value: data,
|
||||||
|
options: { filename: 'audio.ogg', contentType: 'audio/ogg' }
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
if (!language || language === 'auto') {
|
||||||
|
await detectLanguage(ws, formData);
|
||||||
|
} else {
|
||||||
|
await transcribeAudio(ws, formData, sessionData);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function detectLanguage(ws, formData) {
|
||||||
|
try {
|
||||||
|
const result = await requestPromise({
|
||||||
|
method: 'POST',
|
||||||
|
url: TTS_API_URL.replace('/asr', '/detect-language'),
|
||||||
|
formData
|
||||||
|
});
|
||||||
|
const { language_code } = JSON.parse(result);
|
||||||
|
if (language_code) {
|
||||||
|
const sessionData = sessions.get(ws.sessionId);
|
||||||
|
sessionData.language = language_code;
|
||||||
|
ws.send(JSON.stringify({ type: 'languageDetected', languageDetected: language_code }));
|
||||||
|
await transcribeAudio(ws, formData, sessionData);
|
||||||
|
}
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Language detection failed:', err);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function transcribeAudio(ws, formData, sessionData) {
|
||||||
|
const start = new Date().getTime();
|
||||||
|
queueCounter++;
|
||||||
|
|
||||||
|
try {
|
||||||
|
if(sessionData.language) {
|
||||||
|
formData.language = sessionData.language;
|
||||||
|
}
|
||||||
|
formData.vad_filter = 'true';
|
||||||
|
const body = await requestPromise({ method: 'POST', url: TTS_API_URL, formData });
|
||||||
|
queueCounter--;
|
||||||
|
|
||||||
|
const duration = new Date().getTime() - start;
|
||||||
|
ws.send(JSON.stringify({
|
||||||
|
type: 'text',
|
||||||
|
queueCounter,
|
||||||
|
duration,
|
||||||
|
language: sessionData.language,
|
||||||
|
text: body
|
||||||
|
}));
|
||||||
|
|
||||||
|
await handleChatTranscription(ws, body, sessionData);
|
||||||
|
|
||||||
|
} catch (err) {
|
||||||
|
console.error('Transcription failed:', err);
|
||||||
|
}
|
||||||
|
|
||||||
|
if (storeRecordings) {
|
||||||
|
const timestamp = Date.now();
|
||||||
|
fs.mkdir('rec', { recursive: true }, err => {
|
||||||
|
if (err) console.error(err);
|
||||||
|
else {
|
||||||
|
fs.writeFile(`rec/audio${timestamp}.ogg`, formData.audio_file.value, err => {
|
||||||
|
if (err) console.error(err);
|
||||||
|
else console.log(`Audio data saved to rec/audio${timestamp}.ogg`);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function handleChatTranscription(ws, body, sessionData) {
|
||||||
|
if (sessionData.currentChat) {
|
||||||
|
const chat = chats.get(sessionData.currentChat);
|
||||||
|
if (chat) {
|
||||||
|
let msg = { sender: sessionData.username, text: body, translations: [] };
|
||||||
|
chat.messages.push(msg);
|
||||||
|
|
||||||
|
for (let sessionId of chat.participants) {
|
||||||
|
if (sessionId !== ws.sessionId) {
|
||||||
|
const targetLang = sessions.get(sessionId)?.language || 'en';
|
||||||
|
if (targetLang !== sessionData.language) {
|
||||||
|
const translation = await translateText(body, sessionData.language, targetLang);
|
||||||
|
msg.translations.push({ language: targetLang, text: translation });
|
||||||
|
|
||||||
|
const participantSocket = Array.from(wss.clients).find(client => client.sessionId === sessionId);
|
||||||
|
if (participantSocket && participantSocket.readyState === WebSocket.OPEN) {
|
||||||
|
participantSocket.send(JSON.stringify({ type: 'text', text: `${sessionData.username}: ${translation}` }));
|
||||||
|
const audioBuffer = await generateSpeech(translation);
|
||||||
|
participantSocket.send(JSON.stringify({ type: 'audio', audio: audioBuffer.toString('base64') }));
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
const participantSocket = Array.from(wss.clients).find(client => client.sessionId === sessionId);
|
||||||
|
if (participantSocket && participantSocket.readyState === WebSocket.OPEN) {
|
||||||
|
participantSocket.send(JSON.stringify({ type: 'text', text: `${sessionData.username}: ${body}` }));
|
||||||
|
participantSocket.send(JSON.stringify({ type: 'audio', audio: formData.toString('base64') }));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function translateText(originalText, originalLanguage, targetLanguage) {
|
||||||
|
const prompt = `Translate this text from ${originalLanguage} to ${targetLanguage}: ${originalText}`;
|
||||||
|
|
||||||
|
const response = await groq.chat.completions.create({
|
||||||
|
messages: [
|
||||||
|
{
|
||||||
|
role: "system",
|
||||||
|
content: `You are translating voice transcriptions from '${originalLanguage}' to '${targetLanguage}'. Reply with just the translation.`,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
role: "user",
|
||||||
|
content: originalText,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
model: "llama3-8b-8192",
|
||||||
|
});
|
||||||
|
|
||||||
|
return response.choices[0]?.message?.content || "";
|
||||||
|
}
|
||||||
|
|
||||||
|
async function generateSpeech(text) {
|
||||||
|
const mp3 = await openai.audio.speech.create({
|
||||||
|
model: "tts-1",
|
||||||
|
voice: "alloy",
|
||||||
|
input: text,
|
||||||
|
});
|
||||||
|
return Buffer.from(await mp3.arrayBuffer());
|
||||||
|
}
|
||||||
|
|
||||||
|
// HTTP Server
|
||||||
|
app.get('/', (req, res) => {
|
||||||
|
res.sendFile(path.join(__dirname, 'chat-client.html'));
|
||||||
|
});
|
||||||
|
|
||||||
|
app.get('/audio.js', (req, res) => {
|
||||||
|
res.sendFile(path.join(__dirname, 'audio.js'));
|
||||||
|
});
|
||||||
|
|
||||||
|
app.post('/log', (req, res) => {
|
||||||
|
console.log(`[LOG ${new Date().toISOString()}] ${req.body.message}`);
|
||||||
|
res.status(200).send('OK');
|
||||||
|
});
|
||||||
|
|
||||||
|
app.get('/wsurl', (req, res) => {
|
||||||
|
res.status(200).send(process.env.WS_URL);
|
||||||
|
});
|
||||||
|
|
||||||
|
app.get('/settings', async (req, res) => {
|
||||||
|
if (req.query.language) {
|
||||||
|
language = req.query.language;
|
||||||
|
await storage.setItem('language', language);
|
||||||
|
}
|
||||||
|
if (req.query.storeRecordings) {
|
||||||
|
storeRecordings = req.query.storeRecordings;
|
||||||
|
await storage.setItem('storeRecordings', storeRecordings);
|
||||||
|
}
|
||||||
|
res.status(200).send({ language, storeRecordings });
|
||||||
|
});
|
||||||
|
|
||||||
|
app.post('/settings', async (req, res) => {
|
||||||
|
const { sessionId, language, storeRecordings, task } = req.body;
|
||||||
|
const sessionData = sessions.get(sessionId);
|
||||||
|
if (language) sessionData.language = language;
|
||||||
|
if (storeRecordings !== undefined) sessionData.storeRecordings = storeRecordings;
|
||||||
|
if (task) sessionData.task = task;
|
||||||
|
res.status(200).send('OK');
|
||||||
|
});
|
||||||
|
|
||||||
|
app.post('/upload', (req, res) => {
|
||||||
|
const timestamp = Date.now();
|
||||||
|
console.log('Received audio data:', timestamp);
|
||||||
|
fs.mkdir('rec', { recursive: true }, err => {
|
||||||
|
if (err) return res.status(500).send('ERROR');
|
||||||
|
const file = fs.createWriteStream(`rec/audio_slice_${timestamp}.ogg`);
|
||||||
|
req.pipe(file);
|
||||||
|
file.on('finish', () => res.status(200).send('OK'));
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
app.get('/chats', (req, res) => {
|
||||||
|
const { username } = req.query;
|
||||||
|
const userChats = Array.from(chats.values()).filter(chat => chat.participants.includes(username));
|
||||||
|
res.status(200).send({ chats: userChats });
|
||||||
|
});
|
||||||
|
|
||||||
|
app.listen(PORT_HTTP, () => {
|
||||||
|
console.log(`Server listening on port ${PORT_HTTP}`);
|
||||||
|
});
|
||||||
|
|
||||||
|
// Helper to wrap request in a promise
|
||||||
|
function requestPromise(options) {
|
||||||
|
return new Promise((resolve, reject) => {
|
||||||
|
request(options, (error, response, body) => {
|
||||||
|
if (error) return reject(error);
|
||||||
|
resolve(body);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
}
|
||||||
@ -3,11 +3,9 @@
|
|||||||
|
|
||||||
<head>
|
<head>
|
||||||
<title>Real-time Speech-to-Text</title>
|
<title>Real-time Speech-to-Text</title>
|
||||||
<meta name="viewport"
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||||
content="width=device-width, initial-scale=1">
|
|
||||||
<!-- Add the Tailwind CSS library -->
|
<!-- Add the Tailwind CSS library -->
|
||||||
<link rel="stylesheet"
|
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/tailwindcss/2.2.19/tailwind.min.css">
|
||||||
href="https://cdnjs.cloudflare.com/ajax/libs/tailwindcss/2.2.19/tailwind.min.css">
|
|
||||||
</head>
|
</head>
|
||||||
|
|
||||||
<body class="bg-gray-100">
|
<body class="bg-gray-100">
|
||||||
@ -15,61 +13,61 @@
|
|||||||
<h1 class="text-2xl font-bold mb-4 text-center">Rt STT</h1>
|
<h1 class="text-2xl font-bold mb-4 text-center">Rt STT</h1>
|
||||||
<div class="flex justify-center items-center mb-4">
|
<div class="flex justify-center items-center mb-4">
|
||||||
<label class="toggle flex items-center">
|
<label class="toggle flex items-center">
|
||||||
<input type="checkbox"
|
<input type="checkbox" id="autosend" class="mr-2">
|
||||||
id="autosend"
|
|
||||||
class="mr-2">
|
|
||||||
<span class="slider"></span>
|
<span class="slider"></span>
|
||||||
<span class="ml-2">Continuous</span>
|
<span class="ml-2">Continuous</span>
|
||||||
</label>
|
</label>
|
||||||
<select id="input-devices"
|
<select id="input-devices" class="ml-4">
|
||||||
class="ml-4">
|
|
||||||
<option value="default">Default</option>
|
<option value="default">Default</option>
|
||||||
</select>
|
</select>
|
||||||
<select id="language-select">
|
<select id="language-select">
|
||||||
|
<option value="auto">Auto</option>
|
||||||
<option value="en">English</option>
|
<option value="en">English</option>
|
||||||
<option value="bg">Български</option>
|
<option value="bg">Български</option>
|
||||||
|
<option value="fr">Français</option>
|
||||||
|
</select>
|
||||||
|
<select id="task-select">
|
||||||
|
<option value="transcribe">Transcribe</option>
|
||||||
|
<option value="translate">Translate</option>
|
||||||
</select>
|
</select>
|
||||||
<label class="toggle flex items-center ml-4">
|
<label class="toggle flex items-center ml-4">
|
||||||
<input type="checkbox"
|
<input type="checkbox" id="store-recordings" class="mr-2">
|
||||||
id="store-recordings"
|
|
||||||
class="mr-2">
|
|
||||||
<span class="slider"></span>
|
<span class="slider"></span>
|
||||||
<span class="ml-2">Store Recordings</span>
|
<span class="ml-2">Store Recordings</span>
|
||||||
</div>
|
</div>
|
||||||
<div class="flex justify-center items-center mb-4">
|
<div class="flex justify-center items-center mb-4">
|
||||||
<span id="record-actions">
|
<span id="record-actions">
|
||||||
<button id="record-button"
|
<button id="record-button" disabled
|
||||||
disabled
|
|
||||||
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mr-4">
|
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mr-4">
|
||||||
Start Recording</button>
|
Start Recording</button>
|
||||||
<button id="record-button-speakers"
|
<button id="record-button-speakers" disabled
|
||||||
disabled
|
|
||||||
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mr-4">
|
class="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded mr-4">
|
||||||
Stream from speakers</button>
|
Stream from speakers</button>
|
||||||
</span>
|
</span>
|
||||||
</div>
|
</div>
|
||||||
<div class="flex justify-center items-center mb-4">
|
<div class="flex justify-center items-center mb-4">
|
||||||
<div id="connection-status"
|
<div id="connection-status" style="margin-right: 5px;"></div>
|
||||||
style="margin-right: 5px;"></div>
|
|
||||||
</div>
|
</div>
|
||||||
<div class="flex justify-center items-center mb-4">
|
<div class="flex justify-center items-center mb-4">
|
||||||
<div id="info"></div>
|
<div id="info"></div>
|
||||||
</div>
|
</div>
|
||||||
<div id="status-recording"
|
<div id="status-recording" class="flex justify-center items-center mb-4">
|
||||||
class="flex justify-center items-center mb-4">
|
|
||||||
</div>
|
</div>
|
||||||
<div class="relative rounded-lg border border-gray-300 shadow-sm">
|
<div class="relative rounded-lg border border-gray-300 shadow-sm">
|
||||||
<textarea id="transcription"
|
<textarea id="transcription" class="block w-full h-48 p-4 resize-none"
|
||||||
class="block w-full h-48 p-4 resize-none"
|
|
||||||
placeholder="Whisper something into the microphone..."></textarea>
|
placeholder="Whisper something into the microphone..."></textarea>
|
||||||
<button id="copyButton"
|
<button id="copyButton"
|
||||||
class="absolute top-0 right-0 px-4 py-2 text-sm font-medium text-gray-700 bg-gray-200 hover:bg-gray-300 rounded-bl-lg focus:outline-none"
|
class="absolute top-0 right-0 px-4 py-2 text-sm font-medium text-gray-700 bg-gray-200 hover:bg-gray-300 rounded-bl-lg focus:outline-none"
|
||||||
onclick="copyToClipboard('transcription')">
|
onclick="copyToClipboard('transcription')">
|
||||||
Copy
|
Copy
|
||||||
</button>
|
</button>
|
||||||
|
<button id="clearButton"
|
||||||
|
class="absolute top-0 right-20 px-2 py-1 text-sm font-medium text-gray-700 bg-gray-200 hover:bg-gray-300 rounded-br-lg focus:outline-none"
|
||||||
|
onclick="transcription.value = ''">
|
||||||
|
Clear
|
||||||
|
</button>
|
||||||
</div>
|
</div>
|
||||||
<canvas id="canvas"
|
<canvas id="canvas" class="w-full"></canvas>
|
||||||
class="w-full"></canvas>
|
|
||||||
<script>
|
<script>
|
||||||
let sessionId;
|
let sessionId;
|
||||||
|
|
||||||
@ -125,6 +123,15 @@ disabled
|
|||||||
credentials: 'same-origin'
|
credentials: 'same-origin'
|
||||||
});
|
});
|
||||||
});
|
});
|
||||||
|
document.getElementById('task-select').addEventListener('change', (event) => {
|
||||||
|
const task = event.target.value;
|
||||||
|
fetch('/settings', {
|
||||||
|
method: 'POST',
|
||||||
|
body: JSON.stringify({ task, sessionId }),
|
||||||
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
credentials: 'same-origin'
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
// Draw sliding bar graph
|
// Draw sliding bar graph
|
||||||
function drawSlidingBarGraph(lastVolumes) {
|
function drawSlidingBarGraph(lastVolumes) {
|
||||||
@ -261,10 +268,28 @@ disabled
|
|||||||
if (json.hasOwnProperty("language")) {
|
if (json.hasOwnProperty("language")) {
|
||||||
languageSelect.value = json.language;
|
languageSelect.value = json.language;
|
||||||
}
|
}
|
||||||
|
if (json.hasOwnProperty("languageDetected")) {
|
||||||
|
statusRecording.innerHTML = "Detected language: " + json.languageDetected;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (json.hasOwnProperty("taskSelect")) {
|
||||||
|
taskSelect.value = json.taskSelect;
|
||||||
|
}
|
||||||
|
|
||||||
//storerecordings checkbox
|
//storerecordings checkbox
|
||||||
if (json.hasOwnProperty("storeRecordings")) {
|
if (json.hasOwnProperty("storeRecordings")) {
|
||||||
storeRecordings.checked = json.storeRecordings;
|
storeRecordings.checked = json.storeRecordings;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
if (json.hasOwnProperty("text")) {
|
||||||
|
transcription.value += "\r\n" + json.text;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (json.hasOwnProperty("queueCounter")) {
|
||||||
|
let latency = Date.now() - serverTime;
|
||||||
|
console.log("Received message from server: " + event.data + " (latency: " + latency + "ms)");
|
||||||
|
info.innerHTML = "latency: " + latency + "ms; server queue: " + queue + " requests";
|
||||||
|
}
|
||||||
return;
|
return;
|
||||||
} catch (e) {
|
} catch (e) {
|
||||||
//not json
|
//not json
|
||||||
@ -407,7 +432,7 @@ disabled
|
|||||||
serverTime = Date.now();
|
serverTime = Date.now();
|
||||||
console.log("Sent some audio data to server.");
|
console.log("Sent some audio data to server.");
|
||||||
if (!autosend.checked) {
|
if (!autosend.checked) {
|
||||||
transcription.innerHTML = "Processing audio...";
|
transcription.placeholder = "Processing audio...";
|
||||||
}
|
}
|
||||||
} else {
|
} else {
|
||||||
console.log("Not connected, not sending audio data to server.");
|
console.log("Not connected, not sending audio data to server.");
|
||||||
@ -484,6 +509,7 @@ disabled
|
|||||||
languageSelect = document.getElementById("language-select");
|
languageSelect = document.getElementById("language-select");
|
||||||
inputDevices = document.getElementById("input-devices");
|
inputDevices = document.getElementById("input-devices");
|
||||||
storeRecordings = document.getElementById("store-recordings");
|
storeRecordings = document.getElementById("store-recordings");
|
||||||
|
taskSelect = document.getElementById("task-select");
|
||||||
|
|
||||||
enumerateDevices();
|
enumerateDevices();
|
||||||
connect(socket);
|
connect(socket);
|
||||||
|
|||||||
@ -1,6 +1,7 @@
|
|||||||
//load .env file
|
//load .env file
|
||||||
if (require('dotenv')) {
|
if (require('dotenv')) {
|
||||||
require('dotenv').config()
|
const envFile =process.env.NODE_ENV === 'development' ? '.env.development' : '.env';
|
||||||
|
require('dotenv').config({ path: envFile });
|
||||||
}
|
}
|
||||||
|
|
||||||
console.log('Starting ws server on port ' + process.env.SERVER_PORT_WS);
|
console.log('Starting ws server on port ' + process.env.SERVER_PORT_WS);
|
||||||
@ -8,9 +9,10 @@ const WebSocket = require('ws');
|
|||||||
const wss = new WebSocket.Server({ port: process.env.SERVER_PORT_WS });
|
const wss = new WebSocket.Server({ port: process.env.SERVER_PORT_WS });
|
||||||
|
|
||||||
|
|
||||||
console.log(process.env)
|
// console.log("ENV="+process.env)
|
||||||
console.log(process.env.TTS_BACKEND_URL)
|
console.log("TTS_API_URL=" + process.env.TTS_API_URL)
|
||||||
console.log(process.env.WS_URL)
|
console.log("WS_URL=" + process.env.WS_URL)
|
||||||
|
console.log("ENV_NAME=" + process.env.ENV_NAME)
|
||||||
|
|
||||||
let language = "en";
|
let language = "en";
|
||||||
let storeRecordings = false;
|
let storeRecordings = false;
|
||||||
@ -19,7 +21,7 @@ let queueCounter = 0;
|
|||||||
const storage = require('node-persist');
|
const storage = require('node-persist');
|
||||||
storage.init().then(() => {
|
storage.init().then(() => {
|
||||||
storage.getItem('language').then((value) => {
|
storage.getItem('language').then((value) => {
|
||||||
if (value != undefined) { language = value; console.log('language: ' + language); }
|
if (value != undefined) { language = value; console.log('stored language: ' + language); }
|
||||||
else { storage.setItem('language', language).then(() => { console.log('language set to ' + language + "(default)"); }); }
|
else { storage.setItem('language', language).then(() => { console.log('language set to ' + language + "(default)"); }); }
|
||||||
});
|
});
|
||||||
|
|
||||||
@ -49,12 +51,16 @@ wss.on('connection', (ws, req) => {
|
|||||||
console.log('No session data found for session id ' + webSocket.sessionId);
|
console.log('No session data found for session id ' + webSocket.sessionId);
|
||||||
}
|
}
|
||||||
let language = sessionData?.language || 'en';
|
let language = sessionData?.language || 'en';
|
||||||
|
let task = sessionData?.task || 'transcribe';
|
||||||
//show the size of the audio data as 0.000 MB
|
//show the size of the audio data as 0.000 MB
|
||||||
console.log('(queue ' + queueCounter + ') Received ' + (data.length / 1024 / 1024).toFixed(3) + ' MB audio from client. Crrent language: ' + language);
|
console.log('(queue ' + queueCounter + ') Received ' + (data.length / 1024 / 1024).toFixed(3) + ' MB audio from client. Crrent language: ' + language, 'task: ' + task);
|
||||||
var request = require('request');
|
var request = require('request');
|
||||||
|
|
||||||
|
var endpoint = process.env.TTS_API_URL;
|
||||||
var formData = {
|
var formData = {
|
||||||
task: 'transcribe',
|
task: task,
|
||||||
language: sessionData.language,
|
language: language,
|
||||||
|
vad_filter: 'true',
|
||||||
output: 'json',
|
output: 'json',
|
||||||
audio_file: {
|
audio_file: {
|
||||||
value: data,
|
value: data,
|
||||||
@ -64,6 +70,31 @@ wss.on('connection', (ws, req) => {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
console.log('language:', language);
|
||||||
|
if (language == 'auto' || language == '') {
|
||||||
|
console.log('Detecting language...');
|
||||||
|
request.post({ url: endpoint.replace('/asr', '/detect-language'), formData: formData }, function optionalCallback(err, httpResponse, body) {
|
||||||
|
console.log('detected:', body);
|
||||||
|
if (typeof body === 'string') {
|
||||||
|
body = JSON.parse(body);
|
||||||
|
}
|
||||||
|
if (body && body.language_code) {
|
||||||
|
language = body.language_code; if (body && body.language_code) {
|
||||||
|
let language = body.language_code;
|
||||||
|
sessionData.language = language;
|
||||||
|
console.log('language set to:', language);
|
||||||
|
|
||||||
|
webSocket.send(JSON.stringify({ languageDetected: body.detected_language }));
|
||||||
|
} else {
|
||||||
|
console.error('Error: Invalid body or missing language_code');
|
||||||
|
}
|
||||||
|
sessionData.language = language;
|
||||||
|
console.log('language set to:', language);
|
||||||
|
} else {
|
||||||
|
console.error('Error: Invalid body or missing language_code');
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
storeRecordings = sessionData?.storeRecordings || storeRecordings;
|
storeRecordings = sessionData?.storeRecordings || storeRecordings;
|
||||||
if (storeRecordings) {
|
if (storeRecordings) {
|
||||||
@ -84,7 +115,7 @@ wss.on('connection', (ws, req) => {
|
|||||||
//record start time
|
//record start time
|
||||||
var start = new Date().getTime();
|
var start = new Date().getTime();
|
||||||
queueCounter++;
|
queueCounter++;
|
||||||
request.post({ url: process.env.TTS_BACKEND_URL, formData: formData }, function optionalCallback(err, httpResponse, body) {
|
request.post({ url: process.env.TTS_API_URL, formData: formData }, function optionalCallback(err, httpResponse, body) {
|
||||||
queueCounter--;
|
queueCounter--;
|
||||||
if (err) {
|
if (err) {
|
||||||
return console.error('upload failed:', err);
|
return console.error('upload failed:', err);
|
||||||
@ -93,7 +124,8 @@ wss.on('connection', (ws, req) => {
|
|||||||
var duration = new Date().getTime() - start;
|
var duration = new Date().getTime() - start;
|
||||||
//console.log('decoded (' + duration + 'ms):', body);
|
//console.log('decoded (' + duration + 'ms):', body);
|
||||||
console.log('decoded (' + (duration / 1000).toFixed(2) + 's):', body);
|
console.log('decoded (' + (duration / 1000).toFixed(2) + 's):', body);
|
||||||
webSocket.send("(" + queueCounter + ") " + body);
|
//webSocket.send("(" + queueCounter + ") " + body);
|
||||||
|
webSocket.send(JSON.stringify({ queueCounter: queueCounter, duration: duration, language: language, text: body}));
|
||||||
});
|
});
|
||||||
});
|
});
|
||||||
});
|
});
|
||||||
@ -157,6 +189,10 @@ app.post('/settings', (req, res) => {
|
|||||||
sessionData.storeRecordings = body.storeRecordings;
|
sessionData.storeRecordings = body.storeRecordings;
|
||||||
console.log(`Session ${sid}: storeRecordings set to ${sessionData.storeRecordings}`);
|
console.log(`Session ${sid}: storeRecordings set to ${sessionData.storeRecordings}`);
|
||||||
}
|
}
|
||||||
|
if (body.task != undefined) {
|
||||||
|
sessionData.task = body.task;
|
||||||
|
|
||||||
|
}
|
||||||
res.send('OK', 200, { 'Content-Type': 'text/plain' });
|
res.send('OK', 200, { 'Content-Type': 'text/plain' });
|
||||||
});
|
});
|
||||||
|
|
||||||
@ -205,14 +241,14 @@ app.get('/test_ocr', (req, res) => {
|
|||||||
formData.language = req.query.language;
|
formData.language = req.query.language;
|
||||||
}
|
}
|
||||||
|
|
||||||
var tts_url = process.env.TTS_BACKEND_URL;
|
var tts_url = process.env.TTS_API_URL;
|
||||||
if (req.query.ttsID != undefined) {
|
if (req.query.ttsID != undefined) {
|
||||||
//1: TTS_BACKEND_URL
|
//1: TTS_API_URL
|
||||||
//2: TTS_BACKEND_URL2
|
//2: TTS_API_URL2
|
||||||
//3: TTS_BACKEND_URL3
|
//3: TTS_API_URL3
|
||||||
//4: TTS_BACKEND_URL4
|
//4: TTS_API_URL4
|
||||||
if (req.query.ttsID !== '1') {
|
if (req.query.ttsID !== '1') {
|
||||||
tts_url = process.env['TTS_BACKEND_URL' + req.query.ttsID];
|
tts_url = process.env['TTS_API_URL' + req.query.ttsID];
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user