Update app.py

app.py

@@ -135,9 +135,9 @@ def transcribe(audio_path):
 def model(text, web_search):
     if web_search is True:
         """Performs a web search, feeds the results to a language model, and returns the answer."""
-        web_results = search(input)
+        web_results = search(text)
         web2 = ' '.join([f"Link: {res['link']}\nText: {res['text']}\n\n" for res in web_results])
-        formatted_prompt = system_instructions1 + input + "[WEB]" + str(web2) + "[ANSWER]"
+        formatted_prompt = system_instructions1 + text + "[WEB]" + str(web2) + "[ANSWER]"
         stream = client1.text_generation(formatted_prompt, max_new_tokens=512, stream=True, details=True, return_full_text=False)
         return "".join([response.token.text for response in stream if response.token.text != "</s>"])
     else:
@@ -145,9 +145,9 @@ def model(text, web_search):
         stream = client1.text_generation(formatted_prompt, max_new_tokens=512, stream=True, details=True, return_full_text=False)
         return "".join([response.token.text for response in stream if response.token.text != "</s>"])
 
-async def respond(audio):
+async def respond(audio, web_search):
     user = transcribe(audio)
-    reply = model(user)
+    reply = model(user, web_search)
     communicate = edge_tts.Communicate(reply)
     with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
         tmp_path = tmp_file.name
@@ -158,7 +158,6 @@ with gr.Blocks() as demo:
     with gr.Row():
         web_search = gr.Checkbox(label="Web Search", value=False)
         input = gr.Audio(label="Voice Chat (BETA)", sources="microphone", type="filepath", waveform_options=False)
-    with gr.Row():
         output = gr.Audio(label="JARVIS", type="filepath", interactive=False, autoplay=True, elem_classes="audio")
         gr.Interface(fn=respond, inputs=[input, web_search], outputs=[output], live=True)