Update app.py

app.py

@@ -1,45 +1,57 @@
-import os
-import base64
-import uvicorn
-import json
 from flask import Flask, request, jsonify
-import edge_tts
-import asyncio
-
+import requests
+import uvicorn
 app = Flask(__name__)
+RQ = requests.Session()
+
+
+def GenAudio(
+        text:str,
+        model:str
+        )-> dict:
+    
+    url = "https://deepgram.com/api/ttsAudioGeneration"
+
+    headers = {
+        "content-type": "application/json",
+        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36"
+    }
+
 
-async def TextToAudioFile(text: str, model: str) -> str:
-    """Converts text to an audio file and returns its base64 encoded string."""
-    file_path = "Output/main.mp3"
+    payload = {
+        "text": text,
+        "model": model,
+        "demoType": "landing-page",
+        "params": "tag=landingpage-product-texttospeech"
+    }
 
+    response = RQ.post(url, json=payload, headers=headers)
 
+    if response.status_code == 200:
+        print("Request was successful.")
+        return response.json()
+
+    else:
+        print(f"Request failed with status code: {response.status_code}")
 
-    # 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()
-    model = data.get('model', 'en-GB-SoniaNeural')
+    model = data.get('model', 'aura-luna-en')
     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))
+    audio_base64 = GenAudio(text, model)
     
     return jsonify({'audio': audio_base64}), 200
 
 if __name__ == '__main__':
-    # Run the Flask app
-    app.run(debug=True, port=5000)
+
+    app.run(debug=True, port=5000)