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| import os | |
| import gradio as gr | |
| from datasets import load_dataset | |
| auth_token = os.environ.get("auth_token") | |
| visit_bench_all = load_dataset("mlfoundations/VisIT-Bench", use_auth_token=auth_token) | |
| print('visit_bench_all') | |
| print(visit_bench_all) | |
| print('dataset keys:') | |
| print(visit_bench_all.keys()) | |
| dataset_keys = list(visit_bench_all.keys()) | |
| assert len(dataset_keys) == 1 | |
| dataset_key = dataset_keys[0] | |
| visit_bench = visit_bench_all[dataset_key] | |
| print('first item:') | |
| print(visit_bench[0]) | |
| df = visit_bench.to_pandas() | |
| print(f"Got {len(df)} items in dataframe") | |
| df = df.sample(frac=1) | |
| df['image'] = df['image'].apply(lambda x: f'<a href="{x["path"]}" target="_blank"><img src="{x["path"]}" style="width:100%; max-width:800px; height:auto;"></a>') | |
| cols = list(df.columns) | |
| cols.insert(0, cols.pop(cols.index('image'))) | |
| df = df.reindex(columns=cols) | |
| LINES_NUMBER = 20 | |
| df.drop(columns=['visual'],inplace=True) | |
| def display_df(): | |
| df_images = df.head(LINES_NUMBER) | |
| return df_images | |
| def display_next(dataframe, end): | |
| start = int(end or len(dataframe)) | |
| end = int(start) + int(LINES_NUMBER) | |
| global df | |
| if end >= len(df) - 1: | |
| start = 0 | |
| end = LINES_NUMBER | |
| df = df.sample(frac=1) | |
| print(f"Shuffle") | |
| df_images = df.iloc[start:end] | |
| assert len(df_images) == LINES_NUMBER | |
| return df_images, end | |
| initial_dataframe = display_df() | |
| # Gradio Blocks | |
| with gr.Blocks() as demo: | |
| style = """ | |
| <style> | |
| .gradio-container table tr td, .gradio-container table tr th { | |
| padding: 10px 20px; /* Increase padding, adjust as needed */ | |
| white-space: normal; /* Ensure text wraps in both data cells and headers */ | |
| word-wrap: break-word; /* Break the word to prevent overflow */ | |
| vertical-align: top; /* Align text to the top of the cell */ | |
| } | |
| .gradio-container table tr td:nth-child(1), .gradio-container table tr th:nth-child(1) { | |
| white-space: nowrap; /* Prevent wrapping in image column and its header */ | |
| vertical-align: middle; /* Align images to the middle of the cell */ | |
| width: 600px; /* Set a specific width for the image column and its header */ | |
| } | |
| </style> | |
| """ | |
| gr.HTML(style) # This line embeds your CSS in the interface | |
| gr.Markdown("<h1><center>VisIT-Bench Dataset Viewer</center></h1>") | |
| with gr.Row(): | |
| num_end = gr.Number(visible=False) | |
| b1 = gr.Button("Get Initial dataframe") | |
| b2 = gr.Button("Next Rows") | |
| with gr.Row(): | |
| out_dataframe = gr.Dataframe( | |
| value=initial_dataframe, | |
| row_count=LINES_NUMBER, | |
| interactive=False, | |
| datatype=["markdown", "str", "str", "bool", "bool", "bool", "str", "str", "str"], | |
| # min_width=100, | |
| column_widths=[300, 120, 120, 120, 120, 120, 120, 120, 120, 120] | |
| ) | |
| b1.click(fn=display_df, outputs=out_dataframe, api_name="initial_dataframe") | |
| b2.click(fn=display_next, inputs=[out_dataframe, num_end], outputs=[out_dataframe, num_end], | |
| api_name="next_rows") | |
| demo.launch(debug=True, show_error=True) | |