Update app.py

app.py

@@ -267,7 +267,7 @@ def gradio_interface():
                                 large_keywords = gr.Textbox(label="Mistral-Medium Keywords")
                                 open_keywords = gr.Textbox(label="Open-Mistral-Nemo Keywords")
 
-            with gr.TabItem("📊 History & Analysis", id=1):
+             with gr.TabItem("📊 History & Analysis", id=1):
                 with gr.Tabs():
                     with gr.TabItem("Prompt History"):
                         history = gr.DataFrame(
@@ -297,6 +297,21 @@ def gradio_interface():
                             wrap=True,
                             elem_classes="table-style"
                         )
+                        
+                    with gr.TabItem("Model Parameters"):
+                        params = gr.DataFrame(
+                            headers=[
+                                "Timestamp",
+                                "Temperature",
+                                "Top P",
+                                "Max Tokens",
+                                "Stop Sequences",
+                                "Random Seed",
+                                "Safe Prompt"
+                            ],
+                            wrap=True,
+                            elem_classes="table-style"
+                        )
 
         # Footer with links and additional info
         gr.HTML("""
@@ -346,16 +361,23 @@ def gradio_interface():
             </style>
         """)
 
-        # Setup event handlers
         submit_btn.click(
             run_inference_and_analysis,
-            inputs=[task, system_prompt, input_text, temperature, top_p, max_tokens, stop, random_seed, safe_prompt],
-            outputs=[omn_response, ml_response, large_sentiment, open_sentiment, large_keywords, open_keywords, 
-                    large_readability, open_readability, history, responses, analysis, params]
+            inputs=[
+                task, system_prompt, input_text, 
+                temperature, top_p, max_tokens, 
+                stop, random_seed, safe_prompt
+            ],
+            outputs=[
+                omn_response, ml_response, 
+                large_sentiment, open_sentiment, 
+                large_keywords, open_keywords, 
+                large_readability, open_readability,
+                history, responses, analysis, params  # Added params here
+            ]
         )
 
     return demo
 
-# Launch the Gradio interface
 if __name__ == "__main__":
     gradio_interface().launch()