app.py

import gradio as gr
import requests.exceptions
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.repocard import metadata_load

app = gr.Blocks()

def load_agent(model_id_1):
    """
    This function load the agent's video and results
    :return: video_path
    """
    # Load the metrics
    metadata_1 = get_metadata(model_id_1)
    
    # Get the accuracy
    results_1 = parse_metrics_accuracy(metadata_1)
    
    # Load the video
    video_path_1 = hf_hub_download(model_id_1, filename="replay.mp4")
    
    return model_id_1, video_path_1, results_1

def parse_metrics_accuracy(meta):
    if "model-index" not in meta:
        return None
    result = meta["model-index"][0]["results"]
    metrics = result[0]["metrics"]
    accuracy = metrics[0]["value"]
    return accuracy

def get_metadata(model_id):
    """
    Get the metadata of the model repo
    :param model_id:
    :return: metadata
    """
    try:
        readme_path = hf_hub_download(model_id, filename="README.md")
        metadata = metadata_load(readme_path)
        print(metadata)
        return metadata
    except requests.exceptions.HTTPError:
        return None




with app:
    gr.Markdown(
    """
    # Observa los agentes de Lagomorph en acción 🤖
    
    Selecciona el modelo a observar.
    """)
    with gr.Row():
      model1_input = gr.Textbox(label="Modelo")
    with gr.Row():
      app_button = gr.Button("Mostrar modelo")
    with gr.Row():
      with gr.Column():
        model1_name = gr.Markdown()
        model1_video_output = gr.Video()
        model1_score_output = gr.Textbox(label="Recompensa +/- Variación")

    app_button.click(load_agent, inputs=[model1_input], outputs=[model1_name,  model1_video_output, model1_score_output])
    
    examples = gr.Examples(examples=[["odiaz1066/CartPoleGoal-Lagomorph-seed42"],
        ["odiaz1066/BreakoutNoFrameskip-v4-dqn_atari-seed1"],
        ["odiaz1066/PongNoFrameskip-v4-dqn_atari-seed1"]],
        inputs=[model1_input])

    
app.launch()