| 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}", |
| height=400) |
|
|
| 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() |
| |
| for event in [lib.change, time.change, demo.load]: |
| event(get_plot, [lib, time], [plt]) |
|
|
| if __name__ == "__main__": |
| demo.launch() |
|
|