update requirements

app.py

@@ -100,20 +100,20 @@ def filter_df(columns_to_show=None):
     return df if columns_to_show is None else df[columns_to_show]
 
 
-# with gr.Blocks() as demo:
-#     gr.Markdown("## Info about models in this collection")
-#     gr.Markdown(generate_markdown_summary_of_collection(repos_grouped_by_type))
-#     gr.Markdown("### Summary of missing metadata values")
-#     gr.DataFrame(summary_of_na_values(df))
-#     gr.Markdown("# Models in this collection")
-#     with gr.Accordion("Models", open=False):
-#         columns_to_show = gr.Dropdown(
-#             label="Columns to show",
-#             value=column_names,
-#             choices=column_names,
-#             multiselect=True,
-#         )
-#         models_df = gr.DataFrame(filter_df, datatype="markdown")
-#         columns_to_show.change(filter_df, columns_to_show, models_df)
-
-# demo.launch(debug=True)
+with gr.Blocks() as demo:
+    gr.Markdown("## Info about models in this collection")
+    gr.Markdown(generate_markdown_summary_of_collection(repos_grouped_by_type))
+    gr.Markdown("### Summary of missing metadata values")
+    gr.DataFrame(summary_of_na_values(df))
+    gr.Markdown("# Models in this collection")
+    with gr.Accordion("Models", open=False):
+        columns_to_show = gr.Dropdown(
+            label="Columns to show",
+            value=column_names,
+            choices=column_names,
+            multiselect=True,
+        )
+        models_df = gr.DataFrame(filter_df, datatype="markdown")
+        columns_to_show.change(filter_df, columns_to_show, models_df)
+
+demo.launch(debug=True)