Update app.py

app.py

@@ -47,17 +47,13 @@ def respond(
 
     # Decode the response and return it
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    return response
 
-def text_to_voice(response):
-    """
-    Convert the response text to speech using Google Text-to-Speech.
-    Args:
-    - response: Text response from the model to be converted to speech.
-    """
+    # Convert the response to speech and save as an audio file
     tts = gTTS(text=response, lang='en')
-    tts.save("response.mp3")
-    os.system("start response.mp3")  # Use 'open' for macOS, 'xdg-open' for Linux
+    audio_path = "response.mp3"
+    tts.save(audio_path)
+    
+    return response, audio_path
 
 # Build the Gradio Interface
 demo = gr.Interface(
@@ -67,7 +63,7 @@ demo = gr.Interface(
     ],
     outputs=[
         gr.Textbox(label="Chatbot Response"),
-        gr.Audio(value="response.mp3", label="Audio Response")
+        gr.Audio(label="Audio Response")  # Expect audio as well as text output
     ],
     title="Farming Assistant Chatbot",
     description="Ask questions about farming, crop management, pest control, soil conditions, and best agricultural practices."