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Update app.py
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app.py
CHANGED
@@ -75,26 +75,24 @@ def get_recent_models(min_likes, days_ago, filter_string, search_string):
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return df
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# Define the Gradio interface
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gr.
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btn = gr.Button("Run")
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with gr.Column():
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df = gr.DataFrame(
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headers=["Model ID", "Likes", "Creation Date", "Task"],
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wrap=True,
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datatype=["html", "number", "str"],
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)
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if __name__ == "__main__":
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return df
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# Define the Gradio interface
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def launch_interface():
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iface = gr.Interface(
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fn=get_recent_models,
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inputs=[
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gr.Slider(minimum=1, maximum=100, step=1, value=5, label="Minimum Likes"),
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gr.Slider(minimum=1, maximum=30, step=1, value=3, label="Days Ago"),
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gr.Text(label="Filter", max_lines=1),
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gr.Text(label="Search", max_lines=1)
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],
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outputs=gr.DataFrame(
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headers=["Model ID", "Likes", "Creation Date", "Task"],
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wrap=True,
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datatype=["html", "number", "str"],
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),
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title="Model Drops Tracker ๐",
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description="Overwhelmed by the rapid pace of model releases? ๐
You're not alone! That's exactly why I built this tool. Easily filter recent models from the Hub by setting a minimum number of likes and the number of days since their release. Click on a model to see its card. Use `;` to split filter and search"
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)
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iface.launch()
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if __name__ == "__main__":
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launch_interface()
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