app_1.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
import json
import requests
import ast

agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=InferenceClientModel())

questions = requests.get("https://agents-course-unit4-scoring.hf.space/questions").json()

answers = []


for q in questions:
    question_text = q.get("question")
    task_id = q.get("task_id")

    response = agent.run(f"{question_text} Return JSON {{'answer': ''}}", max_steps=2)

    # Normalize response
    if isinstance(response, dict):
        answer = response.get("answer")
    elif isinstance(response, (int, float)):
        answer = response
    elif isinstance(response, str):
        try:
            json_start = response.find("{")
            json_text = response[json_start:] if json_start != -1 else response
            parsed = json.loads(json_text)
            answer = parsed.get("answer", parsed) if isinstance(parsed, dict) else parsed
        except json.JSONDecodeError:
            answer = response.strip()
    else:
        answer = response

    answers.append({
        "task_id": task_id,
        "answer": answer
    })

print(answers)

answers_payload = [
    {
        "task_id": r["task_id"],
        "submitted_answer": str(r["answer"])
    }
    for r in answers
]

payload = {
    "username": "Monika Vivek Raj",
    "agent_code": "new_agent_monika",
    "answers": answers_payload
}

api_url = "https://agents-course-unit4-scoring.hf.space/submit"

response = requests.post(api_url, json=payload)
# Check response
if response.status_code == 200:
    print("Results submitted successfully!")
    print(response.json())
else:
    print("Failed to submit results:", response.status_code, response.text)