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f38a125
1
Parent(s):
5254469
add abstract
Browse files
app.py
CHANGED
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@@ -210,15 +210,21 @@ def model_card_length_by_autogenerated():
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df = load_data()
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top_n = df.library.value_counts().shape[0]
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libraries = [library for library in df.library.unique() if library]
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metadata_coverage_columns = [c for c in df.columns if c.startswith("has")]
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with gr.Blocks() as demo:
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gr.Markdown("# 🤗 Hub Metadata Explorer")
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gr.Markdown(
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"tl;dr: this dashboard aims to provide an overview of model metadata on the hub"
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with gr.Tab("Tag frequencies"):
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gr.Markdown(
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"Tags are one of the key ways in which users may identify models which are of interest. This tab provides "
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_ABSTRACT = """
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tl;dr this dashboard aims to provide an overview of metadata associated with models hosted on the Hugging Face hub.
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\n
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Each tab of this dashboard focuses on a different aspect of model metadata on the hub.
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Many of the tabs in the dashboard have a particular focus on the metadata coverage for different libraries in the hub.
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"""
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df = load_data()
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top_n = df.library.value_counts().shape[0]
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libraries = [library for library in df.library.unique() if library]
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metadata_coverage_columns = [c for c in df.columns if c.startswith("has")]
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with gr.Blocks() as demo:
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gr.Markdown("# 🤗 Hub Metadata Explorer")
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gr.Markdown(_ABSTRACT)
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with gr.Tab("Tag frequencies"):
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gr.Markdown(
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"Tags are one of the key ways in which users may identify models which are of interest. This tab provides "
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