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 from sentence_transformers import SentenceTransformer, util import wikipedia @tool def find_unexpected_analogy(topic: str) -> str: """A tool that Finds an unexpected but relevant analogy for a given topic Args: topic: A string that provides text for analogy search """ try: # Get a summary from Wikipedia summary = wikipedia.summary(topic, sentences=2) # Pretrained model for embeddings (semantic similarity search) model = SentenceTransformer('all-MiniLM-L6-v2') topic_embedding = model.encode(topic, convert_to_tensor=True) # Potential analogy candidates (could be expanded) candidate_topics = ["ant colonies", "internet routing", "biological ecosystems", "black holes", "swarm intelligence", "musical composition"] candidate_embeddings = model.encode(candidate_topics, convert_to_tensor=True) # Find most unexpected but semantically relevant analogy similarities = util.pytorch_cos_sim(topic_embedding, candidate_embeddings) best_index = similarities.argmin().item() # Find the most *distant* but related topic analogy = candidate_topics[best_index] return f"For '{topic}', an unexpected analogy is '{analogy}'. Why? {summary}" except Exception as e: return f"Error generating analogy: {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() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct', 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_current_time_in_timezone, find_unexpected_analogy], # 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()