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