app.py

import datetime
import requests
import pytz
import yaml

from langchain.tools.requests.tool import RequestsGetTool
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, tool, Tool
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

@tool
def get_papers_url_for_date(year:int, month:int, day:int)-> str: 
    """A tool that constructs a URL where machine learning papers for a specific date (YYYY-MM-DD) are listed.
    Args:
        year: the year YYYY
        month: the month MM
        day: the day DD
    """
    return f"https://huggingface.co/papers?date={year}-{month}-{day}"

@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 = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
# 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' 
custom_role_conversions=None,
)

requests_get_tool = Tool.from_langchain(RequestsGetTool())
search_tool = DuckDuckGoSearchTool()

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, search_tool, requests_get_tool, get_papers_url_for_date, get_current_time_in_timezone],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()