app.py

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

from Gradio_UI import GradioUI

@tool
def get_roots(a: float, b: float, c: float) -> tuple[float, float]:
    """Compute the real roots of a quadratic equation ax^2 + bx + c = 0.

    Args:
        a: Quadratic coefficient (must be non-zero).
        b: Linear coefficient.
        c: Constant term.

    Returns:
        A tuple (x1, x2) containing the two real roots.

    Raises:
        ValueError: If a == 0 or the discriminant is negative (no real roots).
    """
    if a == 0:
        raise ValueError("Coefficient 'a' must be non-zero for a quadratic equation.")

    discriminant = b * b - 4 * a * c
    if discriminant < 0:
        raise ValueError(
            f"Discriminant is negative ({discriminant}); equation has no real roots."
        )

    sqrt_disc = math.sqrt(discriminant)
    denom = 2 * a
    x1 = (-b + sqrt_disc) / denom
    x2 = (-b - sqrt_disc) / denom
    return (x1, x2)

@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' 
# deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

model = HfApiModel(
max_tokens=2046,
temperature=0.5,
model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
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, get_roots], ## 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()