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 # Below is a tool that gets a list of books from an app I built on Replit @tool def get_bookbrain()-> str: #Keep this format for the description / args / args description but feel free to modify the tool """Fetches a list of books from the BookBrain API. Args: None """ try: url = "https://bookbrain.replit.app/api/books" response = requests.get(url) if response.status_code != 200: return f"Error accessing BookBrain: {response.text}" data = response.json() if not isinstance(data, list): return "Received an unexpected response format from BookBrain." books_str_list = [] for book in data: title = book.get('title', 'N/A') author = book.get('author', 'N/A') topics = ', '.join(book.get('topics', [])) summary = book.get('summary', 'No summary available') books_str_list.append( f"Title: {title}\nAuthor: {author}\nTopics: {topics}\nSummary: {summary}" ) return "\n\n---\n\n".join(books_str_list) if books_str_list else "No books found." except Exception as e: return f"Failed to fetch books from BookBrain due to: {str(e)}" @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, get_bookbrain], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()