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Update app.py
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app.py
CHANGED
@@ -5,7 +5,7 @@ def display_csv(file_path, columns_to_display):
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# Load the CSV file using pandas
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df = pd.read_csv(file_path)
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# Select only the specified columns
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df_selected_columns = df[columns_to_display]
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# Display the selected columns as a table
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st.dataframe(df_selected_columns.sort_values(by=columns_to_display[0]), height=500, width=1000)
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@@ -22,7 +22,7 @@ def main():
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# Add header and description
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st.header("CLIP benchmarks - retrieval and inference")
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st.write("CLIP benchmarks for inference and retrieval performance. Image size, context length and output dimensions are also included. Retrieval performance comes from https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_retrieval_results.csv
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# Call the display_csv function with the hardcoded file path and selected columns
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display_csv(file_path, columns_to_display)
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# Load the CSV file using pandas
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df = pd.read_csv(file_path)
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# Select only the specified columns
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df_selected_columns = df[columns_to_display].sort_values(by=['avg_score']).reset_index(drop=True)
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# Display the selected columns as a table
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st.dataframe(df_selected_columns.sort_values(by=columns_to_display[0]), height=500, width=1000)
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# Add header and description
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st.header("CLIP benchmarks - retrieval and inference")
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st.write("CLIP benchmarks for inference and retrieval performance. Image size, context length and output dimensions are also included. Retrieval performance comes from https://github.com/mlfoundations/open_clip/blob/main/docs/openclip_retrieval_results.csv.Tested with A10G, CUDA 12.1, Torch 2.1.0")
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# Call the display_csv function with the hardcoded file path and selected columns
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display_csv(file_path, columns_to_display)
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