Update app.py

app.py

@@ -191,11 +191,15 @@ 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",
+            #                                                                     "Size","Infrastructure","ARC","HellaSwag","MMLU",
+            #                                                                     "TruthfulQA","Winogrande","Affiliation"],
+            #                                 datatype=["html","str","str","str","str","str","str","str","str","str","str","str","str"],
+            #                                 interactive=False)
+#
             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"],
-                                             interactive=False)
+                                                                                 "TruthfulQA","Winogrande","Affiliation"])
             
             filter_hw.change(fn=update_df, 
                              inputs=[filter_hw, filter_platform, filter_affiliation, filter_size, filter_precision, filter_type],