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Update app.py
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app.py
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from datasets import load_dataset
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from huggingface_hub import ModelCard
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from huggingface_hub import HfApi
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import gradio as gr
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import pandas as pd
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data = pd.DataFrame(
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{
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"name": ["Total Number of transformers Model", "Total number of models with missing 'library_name: transformers' in model card."],
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"count": [len(ds), sum(ds["missing_library_name"])],
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}
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)
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return data
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def fetch_fn(commit_date="latest"):
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data = get_data(commit_date=commit_date)
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return gr.BarPlot(
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data,
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x="name",
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y="count",
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title="Count of Model cards with the correct library_name tag",
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height=256,
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width=1024,
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tooltip=["name", "count"],
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vertical=False
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)
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data = get_data()
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with gr.Blocks() as bar_plot:
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with gr.Column():
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with gr.Row():
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plot = gr.BarPlot(
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data,
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x="name",
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y="count",
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title=f"Count of Model cards with the correct library_name tag at the date {current_date}",
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height=256,
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width=1024,
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tooltip=["name", "count"],
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vertical=False
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)
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with gr.Column():
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display = gr.Dropdown(
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choices=list(commits_date_dict.keys()),
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value="latest",
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label="Type of Bar Plot",
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)
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display.change(fetch_fn, inputs=display, outputs=plot)
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bar_plot.launch()
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import gradio as gr
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import altair as alt
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from datasets import load_dataset
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import pandas as pd
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model_id = "ybelkada/model_cards_correct_tag"
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dataset = load_dataset(model_id, split="train").to_pandas()
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# Convert dataset to a pandas DataFrame and sort by commit_dates
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df = pd.DataFrame(dataset)
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df["commit_dates"] = pd.to_datetime(df["commit_dates"]) # Convert commit_dates to datetime format
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df = df.sort_values(by="commit_dates")
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def plot_fn():
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line_chart = alt.Chart(df).mark_line().encode(
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x=alt.X('commit_dates:T', axis=alt.Axis(title='Date')),
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y=alt.Y('total_transformers_model:Q', axis=alt.Axis(title='Count'), scale=alt.Scale(zero=False)),
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color=alt.value('blue'),
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tooltip=['commit_dates:T', 'total_transformers_model:Q'],
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).properties(width=600, height=400)
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line_chart_missing_library = alt.Chart(df).mark_line().encode(
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x=alt.X('commit_dates:T', axis=alt.Axis(title='Date')),
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y=alt.Y('missing_library_name:Q', axis=alt.Axis(title='Count'), scale=alt.Scale(zero=False)),
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color=alt.value('orange'),
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tooltip=['commit_dates:T', 'missing_library_name:Q'],
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).properties(width=600, height=400)
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chart = (line_chart + line_chart_missing_library).properties(width=600, height=400)
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return chart
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with gr.Blocks() as demo:
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plot = gr.Plot(label="Plot")
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demo.load(plot_fn, inputs=[], outputs=[plot])
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if __name__ == "__main__":
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demo.launch()
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