app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from bs4 import BeautifulSoup
from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"

@tool
def fetch_artist_networth(artist_name: str) -> str:
    """
    Fetches the net worth of an artist by scraping search result snippets.

    Args:
        artist_name (str): Name of the artist (e.g., "Beyoncé")

    Returns:
        str: Net worth (e.g., "800 million") or a fallback message.
    """
    query = f"{artist_name} net worth"
    headers = {"User-Agent": "Mozilla/5.0"}
    res = requests.get("https://www.google.com/search", params={"q": query}, headers=headers)
    soup = BeautifulSoup(res.text, "html.parser")

    # Try to find a rich result or snippet line containing "... million/billion"
    snippet = soup.find("div", class_="BNeawe")
    if snippet:
        text = snippet.get_text()
        import re
        match = re.search(r"\$\d+(?:\.\d+)?\s*(?:million|billion)", text, re.IGNORECASE)
        if match:
            return match.group(0)

    return "Net worth not found 🤷"



final_answer = FinalAnswerTool()
search_tool = DuckDuckGoSearchTool()
# If the agent does search_tool = DuckDuckGoSearchTool() answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,search_tool], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()