app.py

# app.py

import os
import gradio as gr
import requests
import pandas as pd

from smolagents import CodeAgent, tool
from smolagents.models import LiteLLMModel  # ✅ correct import

# --- Constants ---
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"

# --- Simple Web Search Tool ---
@tool
def simple_search(query: str) -> str:
    """
    Performs a DuckDuckGo search and returns the top 3 results.

    Args:
        query (str): The search query text.

    Returns:
        str: Titles and links of the top 3 search results.
    """
    try:
        resp = requests.get(
            "https://html.duckduckgo.com/html/",
            params={"q": query},
            timeout=10
        )
        resp.raise_for_status()
        from bs4 import BeautifulSoup
        soup = BeautifulSoup(resp.text, "html.parser")
        items = soup.select("a.result__a")[:3]
        return "\n\n".join(f"{a.get_text()}\n{a['href']}" for a in items) or "No results found."
    except Exception as e:
        return f"Search error: {e}"


# --- Enhanced Agent using Light Model ---
class BasicAgent:
    def __init__(self):
        print("BasicAgent initialized with LiteLLMModel (falcon-7b-instruct).")
        self.model = LiteLLMModel(
            model_id="tiiuae/falcon-7b-instruct",
            max_tokens=512,
            temperature=0.1
        )
        self.agent = CodeAgent(
            model=self.model,
            tools=[simple_search]
        )

    def __call__(self, question: str) -> str:
        print(f"Question: {question[:60]}...")
        try:
            return self.agent.run(question)
        except Exception as e:
            return f"Agent error: {e}"

def run_and_submit_all(profile: gr.OAuthProfile | None):
    if not profile:
        return "Please log in to Hugging Face to submit answers.", None
    username = profile.username
    space_id = os.getenv("SPACE_ID", "")

    questions_url = f"{DEFAULT_API_URL}/questions"
    submit_url = f"{DEFAULT_API_URL}/submit"

    try:
        agent = BasicAgent()
    except Exception as e:
        return f"Agent initialization failed: {e}", None

    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"

    try:
        r = requests.get(questions_url, timeout=15)
        r.raise_for_status()
        questions = r.json()
    except Exception as e:
        return f"Error fetching questions: {e}", None

    logs, answers = [], []
    for item in questions:
        task_id = item.get("task_id")
        question = item.get("question")
        if not task_id or question is None:
            continue
        ans = agent(question)
        answers.append({"task_id": task_id, "submitted_answer": ans})
        logs.append({"Task ID": task_id, "Question": question, "Submitted Answer": ans})

    if not answers:
        return "Agent produced no answers.", pd.DataFrame(logs)

    payload = {"username": username, "agent_code": agent_code, "answers": answers}
    try:
        resp = requests.post(submit_url, json=payload, timeout=60)
        resp.raise_for_status()
        data = resp.json()
        status = (
            f"✅ Submission Successful!\n"
            f"Score: {data.get('score','N/A')}% "
            f"({data.get('correct_count','?')}/{data.get('total_attempted','?')})\n"
            f"{data.get('message','')}"
        )
        return status, pd.DataFrame(logs)
    except Exception as e:
        return f"Submission failed: {e}", pd.DataFrame(logs)

# --- Gradio Interface ---
with gr.Blocks() as demo:
    gr.Markdown("# GAIA Agent Evaluation Runner")
    gr.LoginButton()
    run_button = gr.Button("Run Evaluation & Submit All Answers")
    status_box = gr.Textbox(label="Status / Submission Result", lines=5, interactive=False)
    result_table = gr.DataFrame(label="Questions & Agent Answers", wrap=True)

    run_button.click(run_and_submit_all, outputs=[status_box, result_table])

if __name__ == "__main__":
    print("Launching Gradio app...")
    demo.launch(debug=True, share=False)