from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, tool
import yaml
from tools.final_answer import FinalAnswerTool
from recipe_scrapers import scrape_html
from urllib.request import urlopen

from Gradio_UI import GradioUI

@tool
def grandma_secret_sauce(url: str) -> str:
    """This tool look at the urls provided and returns the recipe from a wroking, existing page. 
    Args:
        url: list of url pages to scrape the recipe from.
    """

    scraper = None
    try:
        html = urlopen(url).read().decode("utf-8")
        scraper = scrape_html(html, org_url=url)
    except:
        return f"Recipe not found for provided url: {url}."

    ingredients = [f" - {ing}\n" for ing in scraper.ingredients()]

    recipe = f"""
👩🏼‍🍳 Et voilà! The {scraper.title()}! 
Preparation requires {scraper.total_time()} minutes, and it is for {scraper.yields()} people.

🧂 Ingredients:\n
{''.join(ingredients)}
🥘 Instructions:
{scraper.instructions()}
"""

    return recipe

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=model_id,
    custom_role_conversions=None,
)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, DuckDuckGoSearchTool(), grandma_secret_sauce],
    max_steps=10,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()