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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 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 ! | |
| 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) | |
| 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() |