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 numpy as np
from typing import List, Union
from local_model import LocalModel
import logging
from dotenv import load_dotenv

import os
from Gradio_UI import GradioUI

logger = logging.getLogger(__name__)

load_dotenv()

HF_TOKEN = os.getenv("HF_TOKEN")


@tool
def compute_correlation(
    arg1: List[Union[float, int]], arg2: List[Union[float, 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 to compute the correlation between two lists of values.
    Args:
        arg1: a first list of values.
        arg2: a second list of values.
    """

    corr = str(float(np.corrcoef(arg1, arg2)[0, 1]))
    logger.info(f"Got correlation value: {corr}")

    return corr


@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()
# model = LocalModel("Qwen/Qwen2.5-1.5B", max_tokens=100, temperature=0.5)
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
    token=HF_TOKEN,
    custom_role_conversions=None,
)

with open("prompts.yaml", "r") as stream:
    prompt_templates = yaml.safe_load(stream)

agent = CodeAgent(
    model=model,
    tools=[
        final_answer,
        compute_correlation,
    ],  ## 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()