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, 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
    """
    try:
        # Generate image using the loaded tool
        result = image_generation_tool(prompt=arg1)

        # Check result format (it may vary depending on the tool's implementation)
        if isinstance(result, str):
            return f"Generated image URL: {result}"
        elif isinstance(result, dict) and "image_url" in result:
            return f"Generated image URL: {result['image_url']}"
        else:
            return f"Image generated successfully: {result}"
    except Exception as e:
        return f"Failed to generate image from prompt '{arg1}': {str(e)}"
from smolagents import tool

# Assuming this is already loaded earlier
# image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
from PIL import Image

@tool
def image_generator(arg1: str) -> Image.Image:
    """
    A tool that generates an image based on a text prompt.

    Args:
        arg1: A description or prompt for the image to be generated.

    Returns:
        A PIL.Image object which Gradio and final_answer can display properly.
    """
    try:
        result = image_generation_tool(prompt=arg1)

        # If result is a PIL image, return a fully loaded version
        if isinstance(result, Image.Image):
            return result.convert("RGB")  # Ensures it's fully loaded and in a common format
        elif isinstance(result, str):
            raise ValueError("Expected an image, but got a string URL. Cannot pass this to final_answer.")
        elif isinstance(result, dict) and "image_url" in result:
            raise ValueError("Expected an image, but got a dict with 'image_url'. Cannot pass this to final_answer.")
        else:
            raise ValueError(f"Unexpected result type: {type(result)}")
    except Exception as e:
        # Raise errors to let the agent or UI handle them
        raise RuntimeError(f"Error generating image from prompt '{arg1}': {str(e)}")




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




with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer,image_generator], ## 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()