Clean up

app.py

@@ -58,7 +58,6 @@ def restart_space() -> None:
 
 # Space initialization
 try:
-    print(EVAL_REQUESTS_PATH)
     snapshot_download(
         repo_id=QUEUE_REPO,
         local_dir=EVAL_REQUESTS_PATH,
@@ -96,17 +95,12 @@ def filter_models(
     version_query: list[str],
     vllm_query: list[str],
 ) -> pd.DataFrame:
-    print(f"Initial df shape: {df.shape}")
-    print(f"Initial df content:\n{df}")
-
     # Filter by model type
     type_emoji = [t.split()[0] for t in type_query]
     df = df[df["T"].isin(type_emoji)]
-    print(f"After type filter: {df.shape}")
 
     # Filter by precision
     df = df[df["Precision"].isin(precision_query)]
-    print(f"After precision filter: {df.shape}")
 
     # Filter by model size
     # Note: When `df` is empty, `size_mask` is empty, and the shape of `df[size_mask]` becomes (0, 0),
@@ -118,26 +112,19 @@ def filter_models(
         if "Unknown" in size_query:
             size_mask |= df["#Params (B)"].isna() | (df["#Params (B)"] == 0)
         df = df[size_mask]
-    print(f"After size filter: {df.shape}")
 
     # Filter by special tokens setting
     df = df[df["Add Special Tokens"].isin(add_special_tokens_query)]
-    print(f"After add_special_tokens filter: {df.shape}")
 
     # Filter by number of few-shot examples
     df = df[df["Few-shot"].astype(str).isin(num_few_shots_query)]
-    print(f"After num_few_shots filter: {df.shape}")
 
     # Filter by evaluator version
     df = df[df["llm-jp-eval version"].isin(version_query)]
-    print(f"After version filter: {df.shape}")
 
     # Filter by vLLM version
     df = df[df["vllm version"].isin(vllm_query)]
-    print(f"After vllm version filter: {df.shape}")
 
-    print("Filtered dataframe head:")
-    print(df.head())
     return df
 
 
@@ -190,10 +177,6 @@ def update_table(
     *columns,
 ) -> pd.DataFrame:
     columns = [item for column in columns for item in column]
-    print(
-        f"Update table called with: type_query={type_query}, precision_query={precision_query}, size_query={size_query}"
-    )
-
     filtered_df = filter_models(
         ORIGINAL_DF,
         type_query,
@@ -204,21 +187,9 @@ def update_table(
         version_query,
         vllm_query,
     )
-    print(f"filtered_df shape after filter_models: {filtered_df.shape}")
-
     filtered_df = search_models_by_multiple_names(filtered_df, query)
-    print(f"filtered_df shape after search_models_by_multiple_names: {filtered_df.shape}")
-
-    print(
-        f"Filter applied: query={query}, columns={columns}, type_query={type_query}, precision_query={precision_query}"
-    )
-    print("Filtered dataframe head:")
-    print(filtered_df.head())
 
     df = select_columns(filtered_df, columns)
-    print(f"Final df shape: {df.shape}")
-    print("Final dataframe head:")
-    print(df.head())
     return df