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eduardo-alvarez commited on Apr 17, 2024

Commit

5e601ad

verified ·

1 Parent(s): 45e90ed

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -191,15 +191,14 @@ 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"])
             filter_hw.change(fn=update_df,
                              inputs=[filter_hw, filter_platform, filter_affiliation, filter_size, filter_precision, filter_type],

                                 ["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"])
+#
+            #gradio_df_display = gr.Dataframe(value=initial_filtered_df, headers=["Model","Average","Hardware","Model Type","Precision",
+            #                                                                     "Size","Infrastructure","ARC","HellaSwag","MMLU",
+            #                                                                     "TruthfulQA","Winogrande","Affiliation"])
             filter_hw.change(fn=update_df,
                              inputs=[filter_hw, filter_platform, filter_affiliation, filter_size, filter_precision, filter_type],