Update app.py

app.py

@@ -7,7 +7,7 @@ from transformers import pipeline
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 speech_to_text = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3-turbo", device=device)
-text_to_speech = pipeline("text-to-speech", model="facebook/seamless-streaming", device=device)
+#text_to_speech = pipeline("text-to-speech", model="facebook/seamless-streaming", device=device)
 
 def audio_to_audio_chatbot(audio):
     if audio is None:
@@ -22,14 +22,15 @@ def audio_to_audio_chatbot(audio):
     print(f"Bot: {response_text}")
 
     # 3. Text-to-Speech
-    speech = text_to_speech(response_text)
-    return speech["audio"], response_text
+    #speech = text_to_speech(response_text)
+    #return speech["audio"], response_text
 
 if __name__ == "__main__":
     iface = gr.Interface(
         fn=audio_to_audio_chatbot,
         inputs=gr.Audio(source="microphone", type="filepath"),
-        outputs=[gr.Audio(), gr.Textbox()],
+        outputs= gr.Textbox(),
+        #outputs=[gr.Audio(), gr.Textbox()],
         title="Audio-zu-Audio-Chatbot (Streaming)",
         description="Spreche in das Mikrofon und der Bot antwortet mit einer Audio-Ausgabe.",
         live=True  # Aktiviert Streaming