Update app.py

app.py

@@ -192,14 +192,11 @@ with demo:
                                 ["pretrained","fine-tuned","chat-models","merges/moerges"])
             
             
-            gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average 🏆","Hardware","Model Type","Precision",
+            gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average","Hardware","Model Type","Precision",
                                                                                  "Size","Infrastructure","ARC","HellaSwag","MMLU",
                                                                                  "TruthfulQA","Winogrande","Affiliation"],
                                              datatype=["html","str","str","str","str","str","str","str","str","str","str","str","str"])
-#
-            #gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average","Hardware","Model Type","Precision",
-            #                                                                     "Size","Infrastructure","ARC","HellaSwag","MMLU",
-            #                                                                     "TruthfulQA","Winogrande","Affiliation"])
+                                                                   "TruthfulQA","Winogrande","Affiliation"])
             
             filter_hw.change(fn=update_df, 
                              inputs=[filter_hw, filter_platform, filter_affiliation, filter_size, filter_precision, filter_type],