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