Update app.py

app.py

@@ -259,20 +259,31 @@ async def generate_video():
         if voice_cloning == 'no':
             if voice_gender == 'male':
                 voice = 'echo'
+                print('Entering Audio creation using elevenlabs')
+                set_api_key("87792fce164425fbe1204e9fd1fe25cd")
+    
+                audio = generate(text = text_prompt, voice = "Daniel", model = "eleven_multilingual_v2",stream=True, latency=4)
+                with tempfile.NamedTemporaryFile(suffix=".mp3", prefix="text_to_speech_",dir=TEMP_DIR.name, delete=False) as temp_file:
+                    for chunk in audio:
+                        temp_file.write(chunk)
+                    driven_audio_path = temp_file.name
+                    print('driven_audio_path',driven_audio_path)
+                    print('Audio file saved using elevenlabs')
+                
             else:
                 voice = 'nova'
 
-            print('Entering Audio creation using whisper')
-            response = client.audio.speech.create(model="tts-1-hd",
+                print('Entering Audio creation using whisper')
+                response = client.audio.speech.create(model="tts-1-hd",
                                                 voice=voice,
                                                 input = text_prompt)
 
-            print('Audio created using whisper')
-            with tempfile.NamedTemporaryFile(suffix=".wav", prefix="text_to_speech_",dir=TEMP_DIR.name, delete=False) as temp_file:
-                driven_audio_path = temp_file.name
+                print('Audio created using whisper')
+                with tempfile.NamedTemporaryFile(suffix=".wav", prefix="text_to_speech_",dir=TEMP_DIR.name, delete=False) as temp_file:
+                    driven_audio_path = temp_file.name
                 
-            response.write_to_file(driven_audio_path)
-            print('Audio file saved')
+                response.write_to_file(driven_audio_path)
+                print('Audio file saved using whisper')
 
         elif voice_cloning == 'yes':
             user_voice = request.files['user_voice']