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 not_alone_stat(condition:str, gender:str)-> 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 tells you around how many percent of people with the same gender in the world are facing the same issue.  
    Args:
        condition: A string representing a valid condition (eg. depression, ADHA, MBTI type)
        gender: A string representing self-identified gender (male or female)
    """
    try:
        search_tool = DuckDuckGoSearchTool()  # Requires smolagents
        query = f"Percentage of {gender} having the same {condition} in the world"
        results = search_tool(query)
        if results:
            return results
        else:
            return f"Sorry, I couldn't find any data for {condition} and {gender}."
    except Exception as e:
        return f"Error fetching data for '{gender} experiencing {condition}': {e}. Please check the spelling or give another try."

@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, not_alone_stat],  # 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()