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Browse files- __pycache__/app.cpython-39.pyc +0 -0
- app.py +42 -0
- requirements.txt +2 -0
__pycache__/app.cpython-39.pyc
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Binary file (1.79 kB). View file
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app.py
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import gradio as gr
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import pyarrow.parquet as pq
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from gradio_huggingfacehub_search import HuggingfaceHubSearch
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from huggingface_hub import HfFileSystem
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fs = HfFileSystem()
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with gr.Blocks() as demo:
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with gr.Column():
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dataset_search = HuggingfaceHubSearch(
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label="Hub Dataset ID",
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placeholder="Search for dataset id on Huggingface",
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search_type="dataset",
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)
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revision_textbox = gr.Textbox("main")
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parquet_file_dropdown = gr.Dropdown()
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with gr.Column():
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output_dataframe = gr.DataFrame()
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def _show_input_preview(dataset, revision, parquet_file):
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yield {revision_textbox: revision}
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if isinstance(parquet_file, int):
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parquet_files = fs.glob(f"datasets/{dataset}@{revision}/**/*.parquet")
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parquet_file = parquet_files[parquet_file]
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yield {parquet_file_dropdown: gr.Dropdown(choices=parquet_files, value=parquet_file)}
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else:
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yield {parquet_file_dropdown: gr.Dropdown(value=parquet_file)}
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yield {output_dataframe: pq.ParquetFile(parquet_file, filesystem=fs).read_row_group(0).to_pandas()}
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@dataset_search.change(inputs=[dataset_search], outputs=[revision_textbox, parquet_file_dropdown, output_dataframe])
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def show_input_from_dataset_search(dataset):
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yield from _show_input_preview(dataset, revision="main", parquet_file=0)
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@revision_textbox.change(inputs=[dataset_search, revision_textbox], outputs=[revision_textbox, parquet_file_dropdown, output_dataframe])
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def show_input_from_revision(dataset, revision):
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yield from _show_input_preview(dataset, revision=revision, parquet_file=0)
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@revision_textbox.change(inputs=[dataset_search, revision_textbox, parquet_file_dropdown], outputs=[revision_textbox, parquet_file_dropdown, output_dataframe])
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def show_input_from_parquet_file(dataset, revision, parquet_file):
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yield from _show_input_preview(dataset, revision=revision, parquet_file=parquet_file)
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demo.launch()
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requirements.txt
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pyarrow
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gradio_huggingfacehub_search
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