Update app.py

app.py

@@ -3,41 +3,45 @@ import base64
 import uvicorn
 import json
 from flask import Flask, request, jsonify
-from flask import Response, stream_with_context
 import edge_tts
 import asyncio
 
 app = Flask(__name__)
 
+async def TextToAudioFile(text: str, model: str) -> str:
+    """Converts text to an audio file and returns its base64 encoded string."""
+    file_path = "main.mp3"
 
-async def TextToAudioFile(text:str,model:str) -> str:
-
-
-    file_path = r"main.mp3"
-
+    # Remove existing file if it exists
     if os.path.exists(file_path):
         os.remove(file_path)
 
+    # Convert text to audio
     communicate = edge_tts.Communicate(text, voice=model, pitch='+5Hz', rate='+10%')
     await communicate.save(file_path)
 
+    # Read the audio file and encode it to base64
     with open(file_path, 'rb') as audio_file:
         audio_data = audio_file.read()
         audio_base64 = base64.b64encode(audio_data).decode('utf-8')
 
     return audio_base64
 
-
-
-
-
 @app.route('/tts', methods=['POST'])
 def tts():
+    """Handles POST requests for text-to-speech conversion."""
     data = request.get_json()
-    text = data.get('text')
-    model = data.get('model',"en-GB-SoniaNeural")
+    model = data.get('model', 'en-GB-SoniaNeural')
+    if not data or 'text' not in data:
+        return jsonify({'error': 'Text is required'}), 400
+    
+    text = data['text']
+    
+    # Run the async function in the event loop
     audio_base64 = asyncio.run(TextToAudioFile(text,model))
+    
     return jsonify({'audio': audio_base64}), 200
 
 if __name__ == '__main__':
-    app.run(app)
+    # Run the Flask app
+    app.run(debug=True, port=5000)