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| from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| import re | |
| from typing import Optional | |
| from duckduckgo_search import DDGS | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| def dog_average_longevity(breed: str) -> str: | |
| """A tool that retrieves the average lifespan of a given dog breed using DuckDuckGo search. | |
| Args: | |
| breed: a string representing the name of the dog breed. | |
| """ | |
| #return "A string stating the average lifespan of the dog breed in years." | |
| query = f"average lifespan for {breed} dog in years" | |
| with DDGS() as ddgs: | |
| results = list(ddgs.text(query, max_results=5)) | |
| if results: | |
| for result in results: | |
| lifespan = extract_lifespan(result) | |
| if lifespan: | |
| return f"The average lifespan of a {breed} dog is {lifespan} years." | |
| return "No reliable lifespan information found. Please check with a veterinarian." | |
| def extract_lifespan(text: str) -> Optional[str]: | |
| """ | |
| Extracts the first occurrence of a lifespan range or single number in years. | |
| Args: | |
| text: The input text from search results. | |
| :return: Extracted lifespan range or single value (e.g., '10-12 years' or '13 years') or None. | |
| """ | |
| pattern = r"(\d{1,2}\s?(-|to)\s?\d{1,2}|\d{1,2})\s?(years|yrs)?" | |
| match = re.search(pattern, text, re.IGNORECASE) | |
| if match: | |
| return match.group(1) | |
| return None | |
| final_answer = FinalAnswerTool() | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud', | |
| custom_role_conversions=None, | |
| ) | |
| # Import tool from Hugging Face 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, dog_average_longevity, extract_lifespan, image_generation_tool], # Now includes image generation | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() | |