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Create app.py
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app.py
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from smolagents import CodeAgent, WebSearchTool, PythonInterpreterTool, InferenceClientModel
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import requests
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import os
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# --- 1. API GAIA ---
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HF_TOKEN = os.getenv("token_curso")
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BASE = "https://jbaselga-agentes-unit4.hf.space/api"
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QUESTIONS_URL = f"{BASE}/questions"
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SUBMIT_URL = f"{BASE}/submit"
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HF_USERNAME = "jbaselga"
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AGENT_CODE_URL = "https://huggingface.co/spaces/jbaselga/agentes-unit4/tree/main"
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def fetch_gaia_questions():
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resp = requests.get(QUESTIONS_URL, headers={"Authorization": f"Bearer {HF_TOKEN}"})
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return resp.json()
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def submit_answers(answers: dict):
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payload = {
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"username": HF_USERNAME,
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"agent_code": AGENT_CODE_URL,
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"answers": [
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{"task_id": tid, "submitted_answer": ans}
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for tid, ans in answers.items()
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]
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}
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resp = requests.post(SUBMIT_URL, json=payload, headers={"Authorization": f"Bearer {HF_TOKEN}"})
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return resp.json()
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# --- 2. Configuraci贸n del agente ---
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model = InferenceClientModel()
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tools = [
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WebSearchTool(), # B煤squeda web (usa DuckDuckGo)
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PythonInterpreterTool() # Ejecuta c贸digo Python (incluye c谩lculos)
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]
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agent = CodeAgent(tools=tools, model=model, add_base_tools=True, max_steps=10)
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# --- 3. Funci贸n para responder preguntas ---
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def answer_question(qid: str, question: str) -> str:
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prompt = f"Pregunta ID:{qid}. Responde SOLO la respuesta, sin explicaciones:\n{question}"
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out = agent.run(prompt)
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return out.strip()
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# --- 4. Flujo principal ---
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def main():
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qs = fetch_gaia_questions()
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print("DEBUG qs:", qs) # <-- A帽ade esto para ver la estructura
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answers = {}
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for item in qs:
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print("DEBUG item:", item)
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if isinstance(item, dict) and "task_id" in item and "question" in item:
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answers[item["task_id"]] = answer_question(item["task_id"], item["question"])
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else:
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print("Formato inesperado:", item)
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result = submit_answers(answers)
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print("馃И Resultados GAIA:", result)
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if __name__ == "__main__":
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main()
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