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 math import sqrt
from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_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 evaluate_hydraulic_aggregate(dp: float, dh: float, dt: float, P_in: float, n: float,
                                   E_dp: float, E_dh: float, E_dt: float, E_P_in: float, E_n: float) -> str:
    """Evaluates a hydraulic aggregate measurement based on given parameters.
    Args:
        dp: Pressure difference in bar.
        dh: Height difference in mm.
        dt: Time difference in seconds.
        P_in: Input power in kW.
        n: Rotational speed in RPM.
        E_dp: Error in pressure measurement.
        E_dh: Error in height measurement.
        E_dt: Error in time measurement.
        E_P_in: Error in input power measurement.
        E_n: Error in rotational speed measurement.

    Returns:
        str: A formatted summary of the computed performance metrics and associated absolute errors.
    """

    # Constants
    Vg = 8.25 / 1000  # Specific volume [m^3]
    alpha = 5.227e-2  # Flow coefficient

    # Calculations
    Q_g = Vg * n
    Q_p = alpha * dh / dt * 60
    eta_vol = (Q_p / Q_g) * 100
    P_u = (Q_p / 60) * dp * 100
    eta_tot = (P_u / (P_in * 1000)) * 100

    # Error calculations
    E_Q_g = Vg * E_n
    E_Q_p = sqrt((alpha * E_dh / dt) ** 2 + (alpha * dh / dt ** 2 * E_dt) ** 2) * 60
    E_eta_vol = sqrt((E_Q_p / Q_g) ** 2 + (Q_p * E_Q_g / Q_g ** 2) ** 2) * 100
    E_P_u = sqrt((E_Q_p * dp * 100 / 60) ** 2 + (Q_p * E_dp * 100 / 60) ** 2)
    E_eta_tot = sqrt((E_P_u * 1e-3 / P_in) ** 2 + (E_P_in * P_u * 1e-3 / P_in ** 2) ** 2) * 100

    # Formatted output
    result = f"""
    --- Hydraulic Aggregate Measurement Evaluation ---
    Geometric Volume Flow Rate (Q_g): {Q_g:.3f} dm³/min ± {E_Q_g:.3f}
    Volume Flow Rate (Q_p): {Q_p:.3f} dm³/min ± {E_Q_p:.3f}
    Volumetric Efficiency (η_vol): {eta_vol:.3f}% ± {E_eta_vol:.3f}%
    Useful Power Output (P_u): {P_u:.2f} W ± {E_P_u:.2f} W
    Total Efficiency (η_tot): {eta_tot:.3f}% ± {E_eta_tot:.3f}%
    """

    return result.strip()

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=[evaluate_hydraulic_aggregate,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()