Update app.py

app.py

@@ -177,7 +177,7 @@ additional_inputs = [
 
 
 # Create the Gradio interface
-with gr.Blocks(theme=gr.themes.Default(), css=chatbot_css) as demo:
+with gr.Blocks(theme=gr.themes.Default() ) as demo:
     with gr.Tab("Indexing"):
         gr.Markdown(desc)
         # pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"])
@@ -256,17 +256,17 @@ with gr.Blocks(theme=gr.themes.Default(), css=chatbot_css) as demo:
 
         # Bind the `process_chat_and_info` function to the submit event of the message textbox
         msg.submit(
-            fn=process_chat_and_info,
-            inputs=[msg, chatbot, model_name_textbox, temperature_slider, max_tokens_slider, top_p_slider, seed_number],
-            outputs=[chatbot, relevant_info_textbox, msg], # Order matters here: chatbot, relevant_info, then msg
+            fn=generate_response,
+            inputs=[msg, None, model_name_textbox, temperature_slider, max_tokens_slider, top_p_slider, seed_number],
+            outputs=[chatbot, relevant_info_textbox], # Order matters here: chatbot, relevant_info, then msg
             queue=False # Set to True if you expect heavy load
         )
 
         # Bind the `process_chat_and_info` function to the click event of the send button
         submit_btn.click(
-            fn=process_chat_and_info,
-            inputs=[msg, chatbot, model_name_textbox, temperature_slider, max_tokens_slider, top_p_slider, seed_number],
-            outputs=[chatbot, relevant_info_textbox, msg], # Order matters here
+            fn=generate_response,
+            inputs=[msg, None, model_name_textbox, temperature_slider, max_tokens_slider, top_p_slider, seed_number],
+            outputs=[chatbot, relevant_info_textbox], # Order matters here
             queue=False # Set to True if you expect heavy load
         )