Update app.py

app.py

@@ -101,8 +101,10 @@ def process_query(user_query):
         rag_response = rag_chain.invoke({"input": preprocessed_query})["answer"]
         gemini_resp = gemini_response(preprocessed_query, full_pdf_content)
         final_response = generate_final_response(user_query, rag_response, gemini_resp)
+        final_output = "# **Final (GPT-4o) Response:** " + final_response
+        html_content = markdown2.markdown(final_output)
         
-        return rag_response, gemini_resp, final_response
+        return rag_response, gemini_resp, html_content
     except Exception as e:
         error_message = f"An error occurred: {str(e)}"
         return error_message, error_message, error_message
@@ -127,7 +129,7 @@ iface = gr.Interface(
     outputs=[
         gr.Textbox(label="RAG Pipeline (Llama3.1) Response"),
         gr.Textbox(label="Long Context (Gemini 1.5 Pro) Response"),
-        gr.Textbox(label="Final (GPT-4o) Response")
+        gr.HTML(label="Final (GPT-4) Response")
     ],
     title="Data Protection Team",
     description="Get responses combining advanced RAG, Long Context, and SOTA models to data protection related questions (GDPR, FERPA, COPPA).",