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 Gradio_UI import GradioUI


@tool
def get_news_headlines() -> str:
    """
    Fetches the top news headlines from the News API for India.
    This function makes a GET request to the News API to retrieve the top news headlines
    for India. It returns the titles and sources of the top 5 articles as a
    formatted string. If no articles are available, it returns a message indicating that
    no news is available. In case of a request error, it returns an error message.
    Returns:
        str: A 
        containing the top 5 news headlines and their sources, or an error message.
    """
    api_key = "2f90b8ee0ea64f08b2e9a4c9a13a69c4"

    sources = "google-news-in"
    name = "Google News (India)"
    description = "Comprehensive, up-to-date India news coverage, aggregated from sources all over the world by Google News.",
    URL = "https://news.google.com",
    language = "en"  # Define language before using it

    url = f"https://newsapi.org/v2/everything?q=&sources={sources}&language={language}&apiKey={api_key}"

    try:
        response = requests.get(url)
        response.raise_for_status()

        data = response.json()
        articles = data["articles"]

        if not articles:
            return "No news available at the moment."

        headlines = [f"{article['title']} - {article['source']['name']}" for article in articles[:5]]
        return "\n".join(headlines)

    except requests.exceptions.RequestException as e:
        return f"Error fetching news data: {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='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[get_news_headlines, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
)

GradioUI(agent).launch()