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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) | |