Spaces:
Sleeping
Sleeping
Fix
Browse files
app.ipynb
CHANGED
@@ -7,7 +7,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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-
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"import gradio as gr\n",
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"import pandas as pd\n",
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"from huggingface_hub import list_models"
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"def get_submissions(category):\n",
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" submissions = list_models(filter=[\"dreambooth-hackathon\", category], full=True)\n",
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" leaderboard_models = []\n",
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@@ -86,7 +86,7 @@
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}
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],
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"source": [
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"block = gr.Blocks()\n",
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"\n",
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"with block:\n",
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"metadata": {},
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"outputs": [],
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"source": [
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"#|export\n",
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"import gradio as gr\n",
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"import pandas as pd\n",
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"from huggingface_hub import list_models"
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"metadata": {},
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"outputs": [],
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"source": [
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"#|export\n",
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"def get_submissions(category):\n",
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" submissions = list_models(filter=[\"dreambooth-hackathon\", category], full=True)\n",
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" leaderboard_models = []\n",
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}
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],
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"source": [
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"#|export\n",
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"block = gr.Blocks()\n",
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"\n",
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"with block:\n",
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app.py
CHANGED
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = []
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# %% app.ipynb 0
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import gradio as gr
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import pandas as pd
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from huggingface_hub import list_models
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['block', 'get_submissions']
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# %% app.ipynb 0
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import gradio as gr
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import pandas as pd
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from huggingface_hub import list_models
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# %% app.ipynb 1
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def get_submissions(category):
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submissions = list_models(filter=["dreambooth-hackathon", category], full=True)
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leaderboard_models = []
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for submission in submissions:
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# user, model, likes
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leaderboard_models.append(
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(
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submission.id.split("/")[0],
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submission.id.split("/")[-1],
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submission.likes,
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)
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)
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df = pd.DataFrame(data=leaderboard_models, columns=["User", "Model", "Likes"])
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df.sort_values(by=["Likes"], ascending=False, inplace=True)
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df.insert(0, "Rank", list(range(1, len(df) + 1)))
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return df
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# %% app.ipynb 2
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block = gr.Blocks()
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with block:
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gr.Markdown("hi")
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with gr.Tabs():
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with gr.TabItem("Animal"):
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with gr.Row():
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animal_data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions, inputs=gr.Variable("Animal"), outputs=animal_data
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)
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with gr.TabItem("Science"):
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with gr.Row():
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science_data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions, inputs=gr.Variable("Animal"), outputs=science_data
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)
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with gr.TabItem("Food"):
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with gr.Row():
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food_data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions, inputs=gr.Variable("Food"), outputs=food_data
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)
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with gr.TabItem("Landscape"):
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with gr.Row():
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landscape_data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions, inputs=gr.Variable("Landscape"), outputs=data
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)
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with gr.TabItem("Wilcard"):
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with gr.Row():
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wildcard_data = gr.outputs.Dataframe(type="pandas")
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with gr.Row():
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data_run = gr.Button("Refresh")
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data_run.click(
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get_submissions,
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inputs=gr.Variable("Wildcard"),
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outputs=wildcard_data,
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)
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block.load(get_submissions, inputs=gr.Variable("animal"), outputs=animal_data)
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block.load(get_submissions, inputs=gr.Variable("science"), outputs=science_data)
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block.load(get_submissions, inputs=gr.Variable("food"), outputs=food_data)
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block.load(get_submissions, inputs=gr.Variable("landscape"), outputs=landscape_data)
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block.load(get_submissions, inputs=gr.Variable("wildcard"), outputs=wildcard_data)
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block.launch()
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