loop untill cloesd, button AND mouse

.gitignore

@@ -12,3 +12,4 @@ agent-mobile/artimobile/supervisord.pid
 agent-pyter/lag-llama
 agent-pyter/google-chrome-stable_current_amd64.deb
 web/.node-persist/*
+agent-mAId/output.wav

agent-mAId/main.py

@@ -11,6 +11,7 @@ import pystray
 from pystray import MenuItem as item
 from PIL import Image
 import ctypes
+import time
 
 # Constants
 API_KEY = "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"  # Make sure to use your actual API key
@@ -21,7 +22,7 @@ AUTO_START_PATH = os.path.expanduser(r"~\AppData\Roaming\Microsoft\Windows\Start
 client = Groq(api_key=API_KEY)
 
 def record_audio(filename):
-    # Setup audio recording
+    """Records audio when BUTTON or mouse button is pressed."""
     audio = pyaudio.PyAudio()
     stream = audio.open(format=pyaudio.paInt16, channels=1, rate=44100, input=True, frames_per_buffer=1024)
     
@@ -29,7 +30,7 @@ def record_audio(filename):
     print("Recording...")
 
     # Record while button or mouse is pressed
-    while keyboard.is_pressed(BUTTON) or mouse.is_pressed(button='left'):
+    while keyboard.is_pressed(BUTTON) and mouse.is_pressed(button='left'):
         data = stream.read(1024)
         frames.append(data)
     
@@ -47,40 +48,21 @@ def record_audio(filename):
     wave_file.close()
 
 def transcribe_audio(filename):
-    # Open the audio file
+    """Transcribes the recorded audio using the Groq Whisper model."""
     with open(filename, "rb") as file:
-        # Create a transcription of the audio file
         transcription = client.audio.transcriptions.create(
-            file=(filename, file.read()),  # Required audio file
-            model="distil-whisper-large-v3-en",  # Required model to use for transcription
-            prompt="Specify context or spelling",  # Optional
-            response_format="json",  # Optional
-            temperature=0.0  # Optional
+            file=(filename, file.read()),  
+            model="distil-whisper-large-v3-en",  
+            prompt="Specify context or spelling",  
+            response_format="json",  
+            temperature=0.0  
         )
-    
-    # Access the transcription text using dot notation
     return transcription.text
 
 def simulate_keypress(text):
-    # Simulate keypress for each character in text
-    for char in text:
-        pyautogui.typewrite(char)
-    pyautogui.press('enter')
-
-def main():
-    filename = "output.wav"
-    
-    print("Press and hold the button or left mouse button to record...")
-    # Wait for button or mouse press
-    while not (keyboard.is_pressed(BUTTON) or mouse.is_pressed(button='left')):
-        pass
-    record_audio(filename)
-    
-    print("Transcribing audio...")
-    transcribed_text = transcribe_audio(filename)
-    
-    print("Entering text...")
-    simulate_keypress(transcribed_text)
+    """Simulates typing of transcribed text quickly."""
+    pyautogui.typewrite(text, interval=0.01)  # Reduce interval between characters for faster typing
+    # pyautogui.press('enter')
 
 def add_to_autostart():
     """Registers the app to autostart on login."""
@@ -99,26 +81,43 @@ def quit_app(icon):
 
 def setup_tray_icon():
     """Setup system tray icon and menu."""
-    # Create an icon image
     icon_image = Image.new('RGB', (64, 64), color=(255, 0, 0))  # Red icon as an example
 
-    # Define menu items for the tray
     menu = (
         item('Register to Autostart', add_to_autostart),
         item('Exit', lambda: quit_app(icon))
     )
     
-    # Create the tray icon
     icon = pystray.Icon("my_app", icon_image, menu=pystray.Menu(*menu))
-    
-    # Run the tray icon
     icon.run()
 
+def main_loop():
+    """Continuously listen for key or mouse press and transcribe audio."""
+    filename = "output.wav"
+    
+    while True:
+        print("Waiting for button or mouse press...")
+        
+        # Wait for button or mouse press
+        while not (keyboard.is_pressed(BUTTON) or mouse.is_pressed(button='left')):
+            time.sleep(0.1)  # Small sleep to avoid busy-waiting
+        
+        # Record audio
+        record_audio(filename)
+        
+        # Transcribe audio
+        print("Transcribing audio...")
+        transcribed_text = transcribe_audio(filename)
+        
+        # Simulate typing the transcribed text
+        print("Typing transcribed text...")
+        simulate_keypress(transcribed_text)
+
 if __name__ == "__main__":
     # Start the tray icon in a separate thread so it doesn't block the main functionality
     tray_thread = threading.Thread(target=setup_tray_icon)
     tray_thread.daemon = True
     tray_thread.start()
     
-    # Run the main function
-    main()
+    # Run the main loop that listens for key or mouse presses in the background
+    main_loop()