app.py

import gradio as gr
from gaia_agent import GAIAExpertAgent
from evaluation_runner import EvaluationRunner

# Инициализация компонентов
agent = GAIAExpertAgent(model_name="google/flan-t5-large")
runner = EvaluationRunner()

def run_evaluation(username: str, agent_code: str):
    """Основная функция для запуска оценки"""
    try:
        result, correct, total, df = runner.run_evaluation(
            agent=agent,
            username=username,
            agent_code=agent_code
        )
        return result, correct, total, df
    except Exception as e:
        return f"Error: {str(e)}", 0, 0, None

# Интерфейс Gradio
with gr.Blocks(title="GAIA Agent Evaluation") as demo:
    gr.Markdown("# 🏆 GAIA Agent Certification")
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("### Configuration")
            username = gr.Textbox(
                label="Hugging Face Username",
                value="yoshizen"
            )
            agent_code = gr.Textbox(
                label="Agent Code",
                value="https://huggingface.co/spaces/yoshizen/FinalTest"
            )
            run_btn = gr.Button("Run Evaluation", variant="primary")
        
        with gr.Column():
            gr.Markdown("### Results")
            result_output = gr.Textbox(label="Status")
            correct_output = gr.Number(label="Correct Answers")
            total_output = gr.Number(label="Total Questions")
            results_table = gr.Dataframe(label="Details")

    run_btn.click(
        fn=run_evaluation,
        inputs=[username, agent_code],
        outputs=[result_output, correct_output, total_output, results_table]
    )

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False  # Для Spaces оставить False
    )