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| 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 | |
| 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)}" | |
| 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() | |