Update app.py

app.py

@@ -95,20 +95,7 @@ def model(text):
             output += response.token.text
     return output
 
-async def respond(audio):
-    user = transcribe(audio)
-    reply = model(user)
-    
-    voice = Female_language_dict.get("English (UK)-Sonia- (Female)", "default_voice")
-    reply = clean_text(reply)
-    communicate = edge_tts.Communicate(reply, voice)
-    
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
-        tmp_path = tmp_file.name
-        await communicate.save(tmp_path)
-    yield tmp_path
-
-async def generate1(prompt):
+def respondtxt(prompt):
     generate_kwargs = dict(
         temperature=0.6,
         max_new_tokens=512,
@@ -124,17 +111,31 @@ async def generate1(prompt):
     for response in stream:
         if not response.token.text == "</s>":
             output += response.token.text
-                        
-    voice = Female_language_dict.get("English (UK)-Sonia- (Female)", "default_voice")
     output_text = clean_text(output)
-    communicate = edge_tts.Communicate(output_text, voice)
-      
+    return (output_text)
+    
+
+async def respond(audio):
+    user = transcribe(audio)
+    reply = model(user)
+    
+    voice = Female_language_dict.get("English (UK)-Sonia- (Female)", "default_voice")
+    reply = clean_text(reply)
+    communicate = edge_tts.Communicate(reply, voice)
+    
     with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
         tmp_path = tmp_file.name
         await communicate.save(tmp_path)
     yield tmp_path
-    return  output_text
 
+async def generate1(prompt):
+    voice = Female_language_dict.get("English (UK)-Sonia- (Female)", "default_voice")
+    communicate = edge_tts.Communicate(output_text, voice)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+    yield tmp_path
+    
 
 
 with gr.Blocks(theme=gr.themes.Glass(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "Arial"])) as demo:
@@ -153,6 +154,7 @@ with gr.Blocks(theme=gr.themes.Glass(font=[gr.themes.GoogleFont("Inconsolata"),
         with gr.Group():
              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_audio = gr.Audio(label="Sonia's Response", scale=3, type="filepath",       interactive=False, autoplay=True, elem_classes="audio", waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True  )
+             output_text  = respondtxt(user_input)
              gr.Interface(fn=generate1, inputs=user_input, outputs=[output_audio, output_text], live=False)
              #gr.Interface(fn=generate1, inputs=user_input, outputs=output_audio, live=False)