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

@tool
def age_in_animal_years(name: str, age: int, animal: str) -> str:
    """Converts a human age into equivalent years for a chosen animal.
    
    Args:
        name: The person's name.
        age: The age in human years.
        animal: The animal to convert the age into (e.g., 'dog', 'cat', 'rabbit', 'turtle').
    """
    # Conversion rates — you can expand this!
    conversion_rates = {
        "dog": 7,
        "cat": 6,
        "rabbit": 12,
        "turtle": 0.5,
        "parrot": 5,
        "elephant": 1,
        "hamster": 25
    }

    animal_lower = animal.lower()
    if animal_lower not in conversion_rates:
        return f"Sorry, I don't know how to convert to '{animal}'. Try dog, cat, rabbit, turtle, parrot, elephant, or hamster."

    converted_age = age * conversion_rates[animal_lower]
    return f"{name} is {converted_age} years old in {animal_lower} years!"

@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("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 , age_in_animal_years , get_current_time_in_timezone , image_generation_tool ], ## 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()