from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import duckduckgo_search # Or install via: pip install duckduckgo-search from duckduckgo_search import DDGS from Gradio_UI import GradioUI @tool def search_nostupidquestions(keyword: str, count: int) -> str: """Searches Reddit's r/NoStupidQuestions posts using DuckDuckGo Args: keyword: The word you want to search in the subreddit https://www.reddit.com/r/NoStupidQuestions/ count: The number of question posts to return containing this word """ query = f"site:reddit.com/r/NoStupidQuestions {keyword}" with DDGS() as ddgs: results = ddgs.text(query, max_results=count) if not results: return "No posts found." formatted = "" for r in results[:count]: title = r.get("title", "") snippet = r.get("body", "") or r.get("snippet", "") link = r.get("href", "") formatted += f"- **{title}**\n {snippet}\n {link}\n\n" return formatted.strip() @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=[final_answer, 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, prompt_templates=prompt_templates ) GradioUI(agent).launch()