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 Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_tennis_player_last_perf(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 looks for the score of an arbitrary number of the last games of a professional tennis player.
    Args:
        arg1: A string representing the name of the tennis player
        arg2: A int representing the number of last games results that will be fetched
    """
    search_tool = DuckDuckGoSearchTool()
    user_query = f"what is the score of the last {arg2} games of th tennis player {arg1} ?"
    return search_tool(user_query)


@tool 
def get_game_favorite_player(arg1: str, arg2: str)-> str:
    """A tool that looks for the favorite player of a tennis game between player 1 and player 2
    Args:
        arg1: A string representing the name of the tennis player 1
        arg2: A string representing the name of the tennis player 2
    """
    search_tool = DuckDuckGoSearchTool()
    user_query = f"what is the favorite player on a tennis game between {arg1} and {arg2} ?"
    return search_tool(user_query)


@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' 

# Ensure you have your Google Gemini API key set as an environment variable
# os.environ["GOOGLE_API_KEY"] = "YOUR_GEMINI_API_KEY"
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=[get_current_time_in_timezone, final_answer], ## 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()