Delete app.py

app.py

@@ -1,81 +0,0 @@
-import os
-import gradio as gr
-import requests
-import pandas as pd
-from agent import BasicAgent
-
-# --- Constants ---
-DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
-
-
-def run_and_submit_all(profile: gr.OAuthProfile | None):
-    """
-    Fetches GAIA questions, queries the smolagents-based BasicAgent, and submits answers.
-    """
-    if not profile:
-        return "Please log in with Hugging Face", None
-
-    username = profile.username
-    agent = BasicAgent()
-
-    # 1) Fetch questions
-    questions_url = f"{DEFAULT_API_URL}/questions"
-    try:
-        resp = requests.get(questions_url, timeout=15)
-        resp.raise_for_status()
-        questions = resp.json()
-    except Exception as e:
-        return f"Error fetching questions: {e}", None
-
-    # 2) Run agent on each question
-    answers = []
-    log = []
-    for item in questions:
-        task_id = item.get("task_id")
-        question = item.get("question")
-        if not task_id or question is None:
-            continue
-
-        answer = agent(question)
-        answers.append({"task_id": task_id, "submitted_answer": answer})
-        log.append({"Task ID": task_id, "Question": question, "Answer": answer})
-
-    if not answers:
-        return "Agent did not produce any answers to submit.", pd.DataFrame(log)
-
-    # 3) Submit answers
-    payload = {
-        "username": username,
-        "agent_code": f"https://huggingface.co/spaces/{os.getenv('SPACE_ID')}/tree/main",
-        "answers": answers,
-    }
-    submit_url = f"{DEFAULT_API_URL}/submit"
-    try:
-        resp_s = requests.post(submit_url, json=payload, timeout=60)
-        resp_s.raise_for_status()
-        data = resp_s.json()
-        status = (
-            f"Score: {data.get('score', 'N/A')}% "
-            f"({data.get('correct_count', '?')}/{data.get('total_attempted', '?')})\n"
-            f"{data.get('message', '')}"
-        )
-    except Exception as e:
-        status = f"Submission Failed: {e}"
-
-    return status, pd.DataFrame(log)
-
-
-# ----- Gradio UI -----
-with gr.Blocks() as demo:
-    gr.Markdown("# GAIA Q&A with smolagents")
-    login = gr.LoginButton()
-    run_btn = gr.Button("Run & Submit All", variant="primary")
-
-    status_out = gr.Textbox(label="Submission Status", lines=4)
-    results_table = gr.DataFrame(label="Per-Question Log")
-
-    run_btn.click(fn=run_and_submit_all, inputs=[login], outputs=[status_out, results_table])
-
-if __name__ == "__main__":
-    demo.launch()
-