app.py

from smolagents import MultiStepAgent, 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, 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 python_interpreter(code: str) -> str:
    """A dummy tool that blocks Python code execution.

    Args:
        code: The Python code string that would have been executed.
    """
    return "❌ The Python interpreter is disabled in this agent."

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 = "meta-llama/Llama-3.2-3B-Instruct",
    #model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
    #model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
    model_id = "mistralai/Mistral-Small-3.1-24B-Instruct-2503",
    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)


# If you use CodeAgent the python_interpreter will be accessible even with our dummy tool added
agent = MultiStepAgent(
    model=model,
    # If you remove the locally defined python_interpreter from the list the agent will have access to the real python_interpreter
    tools=[final_answer, image_generation_tool, get_current_time_in_timezone, my_custom_tool, python_interpreter], ## 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()