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 my_custom_tool(arg1:str)-> 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 returns which pokemon types an input pokemon type is weak against 
    Args:
        arg1: The input pokemon type
    """
    weakness_list = ", ".join(WEAKNESSES_DICT[arg1])
    return f"{arg1} is weak against {weakness_list}"

@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()
search_tool = DuckDuckGoSearchTool()

# 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='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)

WEAKNESSES_DICT = {
    "Normal": ["Fighting"],
    "Fire": ["Water", "Ground", "Rock"],
    "Water": ["Electric", "Grass"],
    "Electric": ["Ground"],
    "Grass": ["Fire", "Ice", "Poison", "Flying", "Bug"],
    "Ice": ["Fire", "Fighting", "Rock", "Steel"],
    "Fighting": ["Flying", "Psychic", "Fairy"],
    "Poison": ["Ground", "Psychic"],
    "Ground": ["Water", "Grass", "Ice"],
    "Flying": ["Electric", "Ice", "Rock"],
    "Psychic": ["Bug", "Ghost", "Dark"],
    "Bug": ["Fire", "Flying", "Rock"],
    "Rock": ["Water", "Grass", "Fighting", "Ground", "Steel"],
    "Ghost": ["Ghost", "Dark"],
    "Dragon": ["Ice", "Dragon", "Fairy"],
    "Dark": ["Fighting", "Bug", "Fairy"],
    "Steel": ["Fire", "Fighting", "Ground"],
    "Fairy": ["Poison", "Steel"]
}

# 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, my_custom_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()