app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
from datetime import datetime
import pytz, yaml, math, random
from typing import Literal
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def get_approximate_integral(
    expr: str,
    a: float,
    b: float,
    samples: int = 1000
) -> str:
    """Approximate the definite integral of f(x) over [a, b] via Monte Carlo.

    Args:
        expr: Python expression in x, e.g. "math.sin(x)".
        a: Lower limit.
        b: Upper limit.
        samples: Number of random samples.
    """
    code = compile(expr, "<string>", "eval")
    def f(x):
        return eval(code, {"__builtins__": {}}, {"x": x, "math": math})
    total = 0.0
    for _ in range(samples):
        total += f(random.uniform(a, b))
    result = (b - a) * total / samples
    return f'{{"value": {result}, "samples": {samples}}}'

@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:
        tz = pytz.timezone(timezone)
        local_time = 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,
)


image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

tool_list = [
    final_answer,
    get_approximate_integral,
    get_current_time_in_timezone,
    image_generation_tool,
    DuckDuckGoSearchTool(),
]

with open("prompts.yaml") as f:
    prompt_templates = yaml.safe_load(f)

agent = CodeAgent(
    model=model,
    tools=tool_list,
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates 
)

GradioUI(agent).launch()