mirror of
https://github.com/gradio-app/gradio.git
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73 lines
3.0 KiB
Python
73 lines
3.0 KiB
Python
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import gradio as gr
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import pandas as pd
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import plotly.express as px
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from helpers import *
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LIBRARIES = ["accelerate", "datasets", "diffusers", "evaluate", "gradio", "hub_docs",
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"huggingface_hub", "optimum", "pytorch_image_models", "tokenizers", "transformers"]
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def create_pip_plot(libraries, pip_choices):
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if "Pip" not in pip_choices:
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return gr.update(visible=False)
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output = retrieve_pip_installs(libraries, "Cumulated" in pip_choices)
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df = pd.DataFrame(output).melt(id_vars="day")
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plot = px.line(df, x="day", y="value", color="variable",
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title="Pip installs")
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plot.update_layout(legend=dict(x=0.5, y=0.99), title_x=0.5, legend_title_text="")
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return gr.update(value=plot, visible=True)
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def create_star_plot(libraries, star_choices):
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if "Stars" not in star_choices:
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return gr.update(visible=False)
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output = retrieve_stars(libraries, "Week over Week" in star_choices)
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df = pd.DataFrame(output).melt(id_vars="day")
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plot = px.line(df, x="day", y="value", color="variable",
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title="Number of stargazers")
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plot.update_layout(legend=dict(x=0.5, y=0.99), title_x=0.5, legend_title_text="")
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return gr.update(value=plot, visible=True)
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def create_issue_plot(libraries, issue_choices):
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if "Issue" not in issue_choices:
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return gr.update(visible=False)
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output = retrieve_issues(libraries,
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exclude_org_members="Exclude org members" in issue_choices,
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week_over_week="Week over Week" in issue_choices)
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df = pd.DataFrame(output).melt(id_vars="day")
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plot = px.line(df, x="day", y="value", color="variable",
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title="Cumulated number of issues, PRs, and comments",
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)
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plot.update_layout(legend=dict(x=0.5, y=0.99), title_x=0.5, legend_title_text="")
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return gr.update(value=plot, visible=True)
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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with gr.Box():
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gr.Markdown("## Select libraries to display")
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libraries = gr.CheckboxGroup(choices=LIBRARIES, label="")
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with gr.Column():
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with gr.Box():
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gr.Markdown("## Select graphs to display")
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pip = gr.CheckboxGroup(choices=["Pip", "Cumulated"], label="")
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stars = gr.CheckboxGroup(choices=["Stars", "Week over Week"], label="")
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issues = gr.CheckboxGroup(choices=["Issue", "Exclude org members", "week over week"], label="")
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with gr.Row():
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fetch = gr.Button(value="Fetch")
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with gr.Row():
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with gr.Column():
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pip_plot = gr.Plot(visible=False)
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star_plot = gr.Plot(visible=False)
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issue_plot = gr.Plot(visible=False)
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fetch.click(create_pip_plot, inputs=[libraries, pip], outputs=pip_plot)
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fetch.click(create_star_plot, inputs=[libraries, stars], outputs=star_plot)
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fetch.click(create_issue_plot, inputs=[libraries, issues], outputs=issue_plot)
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if __name__ == "__main__":
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demo.launch()
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