app.py

import gradio as gr
import pandas as pd
from huggingface_hub import list_models


def get_submissions(category):
    submissions = list_models(filter=["dreambooth-hackathon", category], full=True)
    leaderboard_models = []

    for submission in submissions:
        # user, model, likes
        user_id = submission.id.split("/")[0]
        leaderboard_models.append(
            (
                make_clickable_user(user_id),
                make_clickable_model(submission.id),
                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 3
demo = gr.Blocks()

with demo:
    gr.Markdown(
        """# Energy Star Leaderboard

    TODO """
    )
    with gr.Tabs():
        with gr.TabItem("Text Generation 💬"):
            with gr.Row():
                animal_data = gr.components.Dataframe(
                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
                )
        with gr.TabItem("Image Generation 📷"):
            with gr.Row():
                science_data = gr.components.Dataframe(
                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
                )
        with gr.TabItem("Text Classification 🎭"):
            with gr.Row():
                food_data = gr.components.Dataframe(
                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
                )
        with gr.TabItem("Image Classification 🖼️"):
            with gr.Row():
                landscape_data = gr.components.Dataframe(
                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
                )
        with gr.TabItem("Extractive QA ❔"):
            with gr.Row():
                wildcard_data = gr.components.Dataframe(
                    type="pandas", datatype=["number", "markdown", "markdown", "number"]
                )


demo.launch()