app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, Tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

class HFModelDownloadsTool(Tool):
    name = "model_download_counter"
    description = """
    This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub.
    It returns the name of the checkpoint."""
    inputs = {
        "task": {
            "type": "string",
            "description": "the task category (such as text-classification, depth-estimation, etc)",
        }
    }
    output_type = "string"

    def forward(self, task: str):
        from huggingface_hub import list_models

        model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
        return model.id

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def calculator_multiply(num1:int, num2:int)-> int:
    """A tool that multiplies the two provided numbers. 
    Args:
        num1: the first argument
        num2: the second argument
    """
    return num1 * num2

@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 search_wikipedia(query: str) -> str:
    """
    Fetches a summary of a Wikipedia page for a given query.
    Args:
        query: The search term to look up on Wikipedia.
    Returns:
        str: A summary of the Wikipedia page if successful, or an error message if the request fails.
    Raises:
        requests.exceptions.RequestException: If there is an issue with the HTTP request.
    """
    url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{query}"

    try:
        response = requests.get(url)
        response.raise_for_status()

        data = response.json()
        title = data["title"]
        extract = data["extract"]

        return f"Summary for {title}: {extract}"

    except requests.exceptions.RequestException as e:
        return f"Error fetching Wikipedia data: {str(e)}"


final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
web_search_tool = DuckDuckGoSearchTool()
model_downloads_tool = HFModelDownloadsTool()
object_detection_tool = Tool.from_space(
    space_id="kadirnar/Yolov10",
    name="object-detector",
    description="Detect objects within an image"
)

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