app.py

import os
import gradio as gr
import requests
import pandas as pd
from smolagents import CodeAgent, Model
# --- Constants ---
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
# במקום HfApiModel, נשתמש ב-Model עם שם המודל
model = Model.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct")
agent = CodeAgent(tools=[], model=model, add_base_tools=True)


# --- Agent Definition ---


# ... (שאר הקוד של run_and_submit_all והממשק נשארים אותו דבר)
def run_and_submit_all(profile: gr.OAuthProfile | None):
    # 1. אימות משתמש
    space_id = os.getenv("SPACE_ID")
    if profile:
        username = f"{profile.username}"
    else:
        return "Please Login to Hugging Face with the button.", None

    api_url = DEFAULT_API_URL
    questions_url = f"{api_url}/questions"
    submit_url = f"{api_url}/submit"
    
    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"

    # 2. משיכת השאלות
    try:
        response = requests.get(questions_url, timeout=15)
        response.raise_for_status()
        questions_data = response.json()
    except Exception as e:
        return f"Error fetching questions: {e}", None

    # 3. הרצת הסוכן על השאלות
    results_log = []
    answers_payload = []
    
    for item in questions_data:
        task_id = item.get("task_id")
        question_text = item.get("question")
        
        # הרצת הסוכן החכם
        submitted_answer = agent.run(question_text) 
        
        answers_payload.append({"task_id": task_id, "submitted_answer": str(submitted_answer)})
        results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": str(submitted_answer)})

    # 4. הגשת התשובות
    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
    
    try:
        response = requests.post(submit_url, json=submission_data, timeout=60)
        response.raise_for_status()
        result_data = response.json()
        final_status = (
            f"Submission Successful!\n"
            f"Overall Score: {result_data.get('score', 'N/A')}% "
            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)"
        )
        return final_status, pd.DataFrame(results_log)
    except Exception as e:
        return f"Submission Failed: {e}", pd.DataFrame(results_log)

# --- ממשק המשתמש (Gradio) ---
with gr.Blocks() as demo:
    gr.Markdown("# Advanced Agent Evaluation Runner")
    gr.LoginButton()
    run_button = gr.Button("Run Evaluation & Submit All Answers")
    status_output = gr.Textbox(label="Status", lines=5)
    results_table = gr.DataFrame(label="Results")
    
    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])

if __name__ == "__main__":
    demo.launch()