Update app.py

app.py

@@ -127,13 +127,13 @@ async def respond(audio):
         await communicate.save(tmp_path)
     yield tmp_path
 
-async def generate1(UserPrompt, TextPrompt ):
+async def generate1(TextPrompt ):
     voice = Female_language_dict.get("English (UK)-Sonia- (Female)", "default_voice")
     communicate = edge_tts.Communicate(TextPrompt, voice)
     with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
         tmp_path = tmp_file.name
         await communicate.save(tmp_path)
-    yield tmp_path
+    yield tmp_path, TextPrompt
 
 
 with gr.Blocks(theme=gr.themes.Glass(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "Arial"])) as demo:
@@ -153,7 +153,7 @@ with gr.Blocks(theme=gr.themes.Glass(font=[gr.themes.GoogleFont("Inconsolata"),
              user_input   = gr.TextArea(label="Your Question",   scale=1, show_copy_button=True, value="What are the key considerations for implementing an expansion plan that would affect a large number of employees of a global biomedical company, My position is logistics global Manager professional in inventory management and supply chain within a biotech industry, particularly in cell therapy. The key responsibilities include managing end-to-end logistics and lab implementation over a dispersed geographical area. generate new programs, develop MRP processes, collaborate with various departments, and ensure compliance with GMP standards. I have several years of practical experience, strong analytical skills, and the ability to work collaboratively in a dynamic environment. Bonus qualifications include experience with cold chain logistics and autologous cell therapy.")
              output_text  = gr.TextArea(label="Sonia's Response", scale=1, interactive=False, show_copy_button=True, value=respondtxt(user_input.value), container=True )
              output_audio = gr.Audio(label="Sonia's Response",   scale=3, type="filepath",       interactive=False, autoplay=True, elem_classes="audio", show_download_button= True, show_share_button = True, waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True  )
-             gr.Interface(fn=generate1, inputs=[user_input, output_text] , outputs=output_audio, live=False)
+             gr.Interface(fn=generate1, inputs=user_input, outputs=[output_audio, output_text] live=False)
             
         
 if __name__ == "__main__":