app.py

import math
from datetime import datetime

import gradio as gr
from duckduckgo_search import DDGS

from smolagents import CodeAgent, tool
from smolagents import InferenceClientModel
from smolagents import FinalAnswerTool
# from huggingface_hub import login

# login()

# -----------------------
# TOOL 1: WEB SEARCH
# -----------------------

@tool
def web_search(query: str) -> str:
    """
    Search the web for information.

    Args:
        query: search query
    """
    results = DDGS().text(query, max_results=5)

    formatted = []
    for r in results:
        formatted.append(f"{r['title']} - {r['body']}")

    return "\n".join(formatted)


# -----------------------
# TOOL 2: CALCULATOR
# -----------------------

@tool
def calculator(expression: str) -> str:
    """
    Evaluate a mathematical expression.

    Args:
        expression: math expression like 12*45+2
    """

    try:
        result = eval(expression, {"math": math})
        return str(result)
    except Exception as e:
        return f"Error: {str(e)}"


# -----------------------
# TOOL 3: CURRENT TIME
# -----------------------

@tool
def current_datetime() -> str:
    """
    Returns current date and time.
    """
    return datetime.now().isoformat()


# -----------------------
# AGENT
# -----------------------


model = InferenceClientModel(
    model_id="HuggingFaceH4/zephyr-7b-beta",
    token=None
)

agent = CodeAgent(
    model=model,
    tools=[
        web_search,
        calculator,
        current_datetime,
        FinalAnswerTool()
    ],
    max_steps=12,
    verbosity_level=1
)

def run_agent(question):
    try:
        answer = agent.run(question)
        return answer
    except Exception as e:
        return str(e)


demo = gr.Interface(
    fn=run_agent,
    inputs=gr.Textbox(label="Ask the GAIA Agent"),
    outputs="text",
    title="GAIA Agent",
    description="Agent built with smolagents for the Hugging Face Agents Course"
)


if __name__ == "__main__":
    demo.launch()