BasicAgent.py

import smolagents, numpy, math, xlrd, os
import pandas as pd
from typing import Union
from smolagents import (
    tool,
    CodeAgent,
    HfApiModel,
    InferenceClientModel,
    WebSearchTool,
    PythonInterpreterTool,
    FinalAnswerTool,
    DuckDuckGoSearchTool,
    GoogleSearchTool
    )

#*

#
class newAgent:
    """Adapts smolagents.CodeAgent to the HF course template API."""
    def __init__(self):
        model_id = "Qwen/Qwen2.5-Coder-32B-Instruct"  # correct repo name
        hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")   # read real secret
        if not hf_token:
            raise RuntimeError("HUGGINGFACEHUB_API_TOKEN not set in Space secrets")
#*
        system_prompt=(
            "You are an agent that answers exam questions. "
            "Your answers should contain exactly what is asked for in the question. "
            "Be exact and concise in your answers. "
            "Do not add explanations or additional information. "
            "If asked for a list, provide ONLY the items requested separated by commas."
             
        )
#*
        model = HfApiModel(model_id=model_id, token=hf_token)
        
        # include FinalAnswerTool in tools so agent knows when to stop
        tools = [FinalAnswerTool()]
        self.agent = CodeAgent(
            tools=tools,
            model=model,
            add_base_tools=True,
            max_steps=3 # limit reasoning time
        )
   
    def __call__(self, question: str) -> str:
        """ONE question in → ONE pure-text answer out."""
        #↓ Replace .run with whatever method actually returns the answer string.
        result = self.agent.run(question)
        return result

        #answer = self.run
          
#agent.run(
#    "At what temperature and for how long should I bake French baguettes made with type 65 flour?",
#)