Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -79,14 +79,27 @@ def update_table(
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show_flagged: bool,
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query: str,
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):
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filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, add_special_tokens_query, num_few_shots_query, show_deleted, show_merges, show_flagged)
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filtered_df = filter_queries(query, filtered_df)
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print(f"Filter applied: query={query}, columns={columns}, type_query={type_query}, precision_query={precision_query}")
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df = select_columns(filtered_df, columns)
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return df
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def load_query(request: gr.Request): # triggered only once at startup => read query parameter if it exists
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query = request.query_params.get("query") or ""
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return query, query # return one for the "search_bar", one for a hidden component that triggers a reload only if value has changed
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show_flagged: bool,
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query: str,
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):
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print(f"Update table called with: type_query={type_query}, precision_query={precision_query}, size_query={size_query}")
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print(f"hidden_df shape before filtering: {hidden_df.shape}")
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filtered_df = filter_models(hidden_df, type_query, size_query, precision_query, add_special_tokens_query, num_few_shots_query, show_deleted, show_merges, show_flagged)
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print(f"filtered_df shape after filter_models: {filtered_df.shape}")
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filtered_df = filter_queries(query, filtered_df)
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print(f"filtered_df shape after filter_queries: {filtered_df.shape}")
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print(f"Filter applied: query={query}, columns={columns}, type_query={type_query}, precision_query={precision_query}")
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print("Filtered dataframe head:")
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print(filtered_df.head())
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df = select_columns(filtered_df, columns)
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print(f"Final df shape: {df.shape}")
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print("Final dataframe head:")
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print(df.head())
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return df
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def load_query(request: gr.Request): # triggered only once at startup => read query parameter if it exists
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query = request.query_params.get("query") or ""
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return query, query # return one for the "search_bar", one for a hidden component that triggers a reload only if value has changed
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