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 urllib, urllib.request

from Gradio_UI import GradioUI
import re

@tool
def my_arxiv_tool(keyword: str, n: int) -> str:
    """A tool that returns "n" research paper links for given keyword on arXiv.
    Args:
        keyword: a keyword related to research paper.
        n: number of research papers.
    """
    url = f'http://export.arxiv.org/api/query?search_query=all:{keyword}&start=0&max_results={n}'
    data = urllib.request.urlopen(url)
    xml_string = data.read().decode('utf-8')
    
    # Extract links using regular expressions
    links = re.findall(r'<id>(http://arxiv\.org/abs/.*?)</id>', xml_string)
    
    # Format the result as a string
    result_string = f"Research paper links for keyword '{keyword}':\n\n"
    for i, link in enumerate(links, 1):
        result_string += f"{i}. {link}\n"
    
    return result_string

@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=2096,
temperature=0.5,
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' ,# 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=[my_arxiv_tool,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()