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
import os
from huggingface_hub import InferenceClient


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)}"


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,
)


# Import tool from Hub
# image_generation_tool = load_tool("stabilityai/stable-diffusion-2", trust_remote_code=True)

@tool
def image_generation_tool(prompt: str) -> str:
    """
    Generates an image from a text prompt using Hugging Face's InferenceClient.

    Args:
        prompt (str): A descriptive text prompt for the image to generate.

    Returns:
        str: The local file path where the generated image is saved,
        or an error message if generation fails.
    """
    api_key = os.getenv("HF_TOKEN")
    if api_key is None:
        return "Error: HF_TOKEN environment variable is not set. Please add it in Space secrets."

    try:
        client = InferenceClient(
            provider="hf-inference",
            api_key=api_key,
        )

        # Call the model
        image = client.text_to_image(
            prompt,
            model="black-forest-labs/FLUX.1-dev",
        )

        # Save the image
        file_path = "generated_image.png"
        image.save(file_path)

        return f"Image successfully generated and saved to {file_path}"

    except Exception as e:
        return f"Image generation failed: {str(e)}"


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