app.py

import sys
import subprocess

# install yfinance if not already installed
subprocess.check_call([sys.executable, "-m", "pip", "install", "yfinance"])	
'''
subprocess.run(
    [sys.executable, "-m", "pip", "install", "smolagents[transformers]"],
    check=True
)
'''

from smolagents import TransformersModel
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_current_price(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 get current price of a stock from yfinance
    Args:
        arg1: the stock symbol
        arg2: the stock current price
    """
    df = yf.Ticker(arg1).history(period='max')
    arg2 = df.iloc[-1]['Close'] 
    
    return f"What magic will you build ? current price of {arg1} is {arg2} "

@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)}"


final_answer = FinalAnswerTool()

# If the agent does not 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='HuggingFaceTB/SmolLM-135M-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)'''
# model = TransformersModel(model_id="HuggingFaceTB/SmolLM-135M-Instruct")

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, get_current_time_in_timezone,get_current_price], ## 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()