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
import re
from typing import List, Union
import sympy as sp
from sympy.core.expr import Expr

from Gradio_UI import GradioUI


# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def solve_equation(equation_str: str) -> List[Union[Expr, float]]:
    """
    A tool for solving single-variable equation provided as a string.
    
    Args:
        equation_str: A string representing the equation in the format 
                      "<expression> = <expression>". Expressions can include numbers, 
                      variables (e.g., 'x'), and arithmetic operators (+, -, *, /). 
                      Exponentiation can be specified using Python's '**' operator or the 
                      LaTeX-style '^{...}' (e.g., "x^{1/11}" is interpreted as x**(1/11)).
    
    Returns:
        A list of solutions (each a sympy.Expr or float) for the variable found in the equation.
    
    Raises:
        ValueError: If the equation does not contain an '=' sign or if no variable is found.
    
    Example:
        >>> eq_str = "x^{1/11} + (x^{10/11} / x) = 4.25"
        >>> solutions = solve_equation(eq_str)
        >>> for sol in solutions:
        ...     print(sol)
    """
    # Convert LaTeX-style exponentiation (e.g., x^{1/11}) to Python-style (x**(1/11))
    equation_str = re.sub(r'\^\{\s*([^}]*)\s*\}', r'**(\1)', equation_str)
    # Replace any remaining '^' with '**'
    equation_str = equation_str.replace('^', '**')
    
    # Split the string into left-hand side and right-hand side
    if '=' not in equation_str:
        raise ValueError("The equation must contain an '=' sign.")
    lhs_str, rhs_str = equation_str.split('=')
    
    # Convert the string expressions to sympy expressions
    lhs: Expr = sp.sympify(lhs_str)
    rhs: Expr = sp.sympify(rhs_str)
    
    # Form the equation lhs == rhs
    eq = sp.Eq(lhs, rhs)
    
    # Determine the free symbols (variables) in the equation
    variables = list(eq.free_symbols)
    if not variables:
        raise ValueError("No variable found in the equation.")
    elif len(variables) > 1:
        # For multiple variables, the first one is chosen for solving.
        var = variables[0]
    else:
        var = variables[0]
    
    # Solve the equation for the chosen variable
    solutions: List[Union[Expr, float]] = sp.solve(eq, var)
    return solutions

@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=1048,
    temperature=0.5,
    # model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
    model_id='Qwen/Qwen2.5-3B-Instruct',# it is possible that this model may be overloaded
    # model_id='Qwen/Qwen2.5-Coder-14B-Instruct',
    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, solve_equation], ## 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()