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 important 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 check_hf_model(model_name: str) -> str:
    """A tool that checks if a Hugging Face model is available and gets basic information.
    Args:
        model_name: The name of the model on Hugging Face (e.g., 'google/bert-base-uncased')
    """
    try:
        # Construct the HF API URL
        api_url = f"https://huggingface.co/api/models/{model_name}"
        # Make the request
        response = requests.get(api_url)
        if response.status_code == 200:
            data = response.json()
            # Extract useful information
            pipeline_tag = data.get('pipeline_tag', 'Not specified')
            downloads = data.get('downloads', 'Not available')
            likes = data.get('likes', 'Not available')
            return f"""Model '{model_name}' is available:
                   - Task: {pipeline_tag}
                   - Downloads: {downloads}
                   - Likes: {likes}
                   - URL: https://huggingface.co/{model_name}"""
        else:
            return f"Model '{model_name}' not found or not accessible."
    except Exception as e:
        return f"Error checking model '{model_name}': {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("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, check_hf_model, get_current_time_in_timezone],  # add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=2,  # increased from 1 to 2 for more debugging info
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Add error handling and logging
import logging
logging.basicConfig(level=logging.DEBUG)

try:
    ui = GradioUI(agent)
    ui.launch()
except Exception as e:
    logging.error(f"Failed to launch Gradio UI: {str(e)}")