from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import random from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def magic_8_ball(question:str, mood:int)-> str: #it's import to specify the return type """ Simulates a Magic 8 Ball based on mood. Args: question: The user's question, must end with a '?'. mood: The current mood (1=positive, 2=neutral, 3=negative). Returns: str: A prediction ("Yes", "No", or ambiguous). """ if not question.strip().endswith('?'): return "Ask me a real question, ending with a '?'" responses = { 1: ["Yes!", "Absolutely.", "Without a doubt.", "You can count on it.", "Definitely."], 2: ["Maybe.", "Hard to say.", "Could go either way.", "Ask again later.", "Unclear for now."], 3: ["No.", "Absolutely not.", "Don't count on it.", "Very unlikely.", "No way."] } if mood not in responses: return "Invalid mood. Use 1 for positive, 2 for neutral, or 3 for negative." return random.choice(responses[mood]) @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() duckduck = DuckDuckGoSearchTool() # 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, duckduck, get_current_time_in_timezone, magic_8_ball], ## 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()