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_top_headlines(country:str=None, category:str=None)-> str: """ Fetch the current top headlines for a given country, category, or source. Args: country: The country code (e.g., 'us' for United States). category: The category (e.g., 'business', 'sports', 'technology'). Returns: list: A list of top headlines with title, description, and URL. """ url = "https://newsapi.org/v2/top-headlines" params = { "apiKey": "877ba42b026143dcbdcb59b6c2b64c1e", } if country: params["country"] = country if category: params["category"] = category response = requests.get(url, params=params) if response.status_code == 200: data = response.json() if data["status"] == "ok": articles = data["articles"] if not articles: return "No headlines found." result = "\n".join([ f"{idx + 1}. {article['title']}\n {article['description']}\n {article['url']}\n" for idx, article in enumerate(articles) ]) return result else: return "Failed to fetch news." else: return f"Request failed with status code {response.status_code}" @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='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=[get_top_headlines, 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()