app.py

import smolagents
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

# local import
from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@smolagents.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 ?"

@smolagents.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_id = 'Qwen/Qwen2.5-Coder-32B-Instruct'
model_id = 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = smolagents.HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    #model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)
model = smolagents.HfApiModel()

mistral_api_key = os.environ["MISTRAL_API_KEY"]
mistral_model_id = "mistral/codestral-latest"
model = smolagents.LiteLLMModel(
    model_id=mistral_model_id,
    api_key=mistral_api_key,
    temperature=0.0
)

# Import tool from Hub
image_generation_tool = smolagents.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 = smolagents.CodeAgent(
    model=model,
    tools=[ ## add your tools here (don't remove final answer)
        final_answer,
        image_generation_tool,
        get_current_time_in_timezone,
        smolagents.DuckDuckGoSearchTool()
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()