app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from typing import Union
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_cutom_tool(arg1:str, arg2:int)-> str: #it's import 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 unit_to_unit(unit_value: Union[int, float], input_unit_type: str, output_unit_type: str) -> str:
    """
    A tool that converts the incoming unit to a given target unit\n
    Supports length, weight and temperature conversions
    Args:
        unit_value: The numeric value to be adjusted.
        input_unit_type: The input unit to convert from.
        output_unit_type: The target unit to convert to.
    """
    conversion_dict = {
        # Length conversions
        ("km", "mi"): lambda x: x * 0.621371,    # Kilometers to miles
        ("mi", "km"): lambda x: x * 1.60934,     # Miles to kilometers
        ("m", "ft"): lambda x: x * 3.28084,      # Meters to feet
        ("ft", "m"): lambda x: x * 0.3048,       # Feet to meters
        ("cm", "in"): lambda x: x * 0.393701,    # Centimeters to inches
        ("in", "cm"): lambda x: x * 2.54,        # Inches to centimeters

        # Weight conversions
        ("kg", "lbs"): lambda x: x * 2.20462,    # Kilograms to pounds
        ("lbs", "kg"): lambda x: x * 0.453592,   # Pounds to kilograms
        ("g", "oz"): lambda x: x * 0.035274,     # Grams to ounces
        ("oz", "g"): lambda x: x * 28.3495,      # Ounces to grams

        # Temperature conversions
        ("c", "f"): lambda x: (x * 9/5) + 32,    # Celsius to Fahrenheit
        ("f", "c"): lambda x: (x - 32) * 5/9,    # Fahrenheit to Celsius
    }

    pairing = (input_unit_type, output_unit_type)

    if pairing in conversion_dict:
        scale = conversion_dict[pairing]
        return f"{unit_value}{input_unit_type} is equal to {scale(unit_value): .2f}{output_unit_type}"
    else:
        return f"Conversion between {input_unit_type} and {output_unit_type} is not supported"


final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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], ## 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()