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 tool description / 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 duck_search(query: str, max_results: int = 5) -> str:
    """
    Function that performs a DuckDuckGo search using the DuckDuckGoSearchTool class.
    Args:
        query: The search query to perform.
        max_results: Number of results to fetch (default is 5).
    Returns:
        A string containing the search results formatted as Markdown.
    """
    # Initialize the DuckDuckGoSearchTool with the desired number of results
    search_tool = DuckDuckGoSearchTool(max_results=max_results)
    
    try:
        # Perform the search and return formatted results
        return search_tool.forward(query)
    except Exception as e:
        return f"An error occurred during the search: {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()
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)

# Load system prompt from prompt.yaml file
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[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 # Pass system prompt to CodeAgent
)


GradioUI(agent).launch()