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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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pd.options.plotting.backend = "plotly" |
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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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chart = data.plot(x="date", y="downloads") |
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return chart |
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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"], label="Library") |
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time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...") |
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plt = gr.Plot() |
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for event in [lib.change, time.change]: |
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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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