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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
import gradio as gr
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import pypistats
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from datetime import date
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from dateutil.relativedelta import relativedelta
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import pandas as pd
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def get_plot(lib, time):
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data = pypistats.overall(lib, total=True, format="pandas")
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data = data.groupby("category").get_group("with_mirrors").sort_values("date")
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start_date = date.today() - relativedelta(months=int(time.split(" ")[0]))
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data = data[(data['date'] > str(start_date))]
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data.date = pd.to_datetime(pd.to_datetime(data.date))
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return gr.LinePlot(value=data, x="date", y="downloads",
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tooltip=['date', 'downloads'],
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title=f"Pypi downloads of {lib} over last {time}",
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overlay_point=True,
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height=400,
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width=900)
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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## Pypi Download Stats 📈
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See live download stats for all of Hugging Face's open-source libraries 🤗
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""")
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with gr.Row():
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lib = gr.Dropdown(["transformers", "datasets", "huggingface-hub", "gradio", "accelerate"],
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value="gradio", label="Library")
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time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"],
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value="3 months", label="Downloads over the last...")
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plt = gr.LinePlot()
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# You can add multiple event triggers in 2 lines like this
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for event in [lib.change, time.change, demo.load]:
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event(get_plot, [lib, time], [plt])
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if __name__ == "__main__":
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demo.launch()
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