from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from tools.web_search import DuckDuckGoSearchTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def animal_mixer(animal1: str, animal2: str) -> str: """A tool that mixes characteristics of two animals and determines if it can generate an image. Args: animal1: The first animal to mix animal2: The second animal to mix """ # List of common animals common_animals = [ "dog", "cat", "lion", "tiger", "elephant", "giraffe", "monkey", "horse", "cow", "pig", "sheep", "rabbit", "mouse", "rat", "bear", "wolf", "fox", "deer", "eagle", "hawk", "owl", "duck", "chicken", "snake", "crocodile", "turtle", "frog", "dolphin", "whale", "shark", "octopus", "crab" ] # Verify if both animals are real/common animal1_real = animal1.lower() in common_animals animal2_real = animal2.lower() in common_animals # Create description of the mix if animal1_real and animal2_real: description = f"The mix between {animal1} and {animal2} would have: " description += f"the head of {animal1} with the body of {animal2}, " description += f"combining features like {get_feature(animal1)} and {get_feature(animal2)}." # Determine if the mix is fantastic if is_fantastic_combination(animal1, animal2): return description + f"\n\nWould you like to see an image of this fantastic combination? I can create it using image_generation_tool." else: return description else: # If any is not recognized as a real animal not_recognized = [] if not animal1_real: not_recognized.append(animal1) if not animal2_real: not_recognized.append(animal2) return f"I don't recognize {'the following animals' if len(not_recognized) > 1 else 'the following animal'}: {', '.join(not_recognized)}. Please try with real animals." def get_feature(animal): """Returns a distinctive feature of the animal.""" features = { "dog": "loyalty and sense of smell", "cat": "agility and night vision", "lion": "mane and powerful roar", "tiger": "stripes and strength", # Add more features for other animals } return features.get(animal.lower(), "unique features") def is_fantastic_combination(animal1, animal2): """Determines if the combination of animals results in something fantastic.""" fantastic_pairs = [ ("lion", "eagle"), # griffin ("horse", "human"), # centaur ("fish", "human"), # mermaid ("snake", "bird"), # quetzalcoatl ("horse", "eagle"), # pegasus # Add more combinations considered fantastic ] # Check if the combination exists in any order return (animal1.lower(), animal2.lower()) in fantastic_pairs or (animal2.lower(), animal1.lower()) in fantastic_pairs or has_extreme_habitat_difference(animal1, animal2) def has_extreme_habitat_difference(animal1, animal2): """Checks if the animals have extremely different habitats.""" water_animals = ["dolphin", "whale", "shark", "octopus", "fish"] air_animals = ["eagle", "hawk", "owl", "bat"] is_water1 = animal1.lower() in water_animals is_water2 = animal2.lower() in water_animals is_air1 = animal1.lower() in air_animals is_air2 = animal2.lower() in air_animals # If one is aquatic and the other aerial, the combination is fantastic return (is_water1 and is_air2) or (is_water2 and is_air1) @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, ) # Add results DuckDuckGoSearchTool web_search_tool = DuckDuckGoSearchTool() # Number of search results can be ajust here # 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, image_generation_tool, web_search_tool, get_current_time_in_timezone], ## 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()