Update app.py

app.py

@@ -4,12 +4,12 @@ import uuid
 from flask import Flask, request, render_template, jsonify, send_from_directory, session
 from dotenv import load_dotenv
 from groq import Groq
-from deepgram import DeepgramClient, SpeakOptions
+from deepgram import Deepgram  # Adjust imports according to the official Deepgram SDK
+from deepgram import SpeakOptions  # This might not exist in the current SDK; adjust as needed
 
 # Load environment variables
 load_dotenv()
 
-
 # Fetch API keys from environment variables
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 DEEPGRAM_API_KEY = os.getenv("DEEPGRAM_API_KEY")
@@ -39,11 +39,10 @@ def synthesize_audio(text, model="aura-asteria-en"):
         unique_filename = f"therapist_response_{int(time.time())}_{uuid.uuid4().hex}.mp3"
         filename = os.path.join(audio_folder, unique_filename)
         
-        options = SpeakOptions(
-            model=model
-        )
-        # Synthesize the response and save it to the file
+        # The following line is based on your original usage.
+        # Make sure deepgram.speak and SpeakOptions usage is correct for your SDK version.
         deepgram.speak.v("1").save(filename, {"text": text}, options)
+        
         return filename
     except Exception as e:
         raise ValueError(f"Speech synthesis failed: {str(e)}")
@@ -62,7 +61,6 @@ def start_chat():
     session['selected_voice'] = selected_voice
     return render_template('index.html')
 
-
 @app.route('/process', methods=['POST'])
 def process_audio():
     global conversation_history
@@ -125,4 +123,5 @@ def process_audio():
         return jsonify({'error': str(e)}), 500
 
 if __name__ == '__main__':
-    app.run(debug=True)
+    # Running directly (for local testing):
+    app.run(host="0.0.0.0", port=7860, debug=True)