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import gradio as gr
import pypistats
from datetime import date
from dateutil.relativedelta import relativedelta
import pandas as pd
pd.options.plotting.backend = "plotly"
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))]
chart = data.plot(x="date", y="downloads")
return chart
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"], label="Library")
time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...")
plt = gr.Plot()
# You can add multiple event triggers in 2 lines like this
for event in [lib.change, time.change]:
event(get_plot, [lib, time], [plt])
if __name__ == "__main__":
demo.launch()
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