tools.py

from langchain.tools import Tool
from langchain_tavily import TavilySearch
from huggingface_hub import list_models
import random
import os

search_tool = TavilySearch(tavily_api_key=os.getenv("TAVILY_API_KEY"))


def get_weather_info(location: str) -> str:
    weather_conditions = [
        {"condition": "Rainy", "temp_c": 15},
        {"condition": "Clear", "temp_c": 25},
        {"condition": "Windy", "temp_c": 20}
    ]
    data = random.choice(weather_conditions)
    return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C"


weather_info_tool = Tool(
    name="get_weather_info",
    func=get_weather_info,
    description="Returns dummy weather information for a given location."
)


def get_hub_stats(author: str) -> str:
    try:
        models = list(list_models(author=author, sort="downloads", direction=-1, limit=1))
        if models:
            model = models[0]
            return f"The most downloaded model by {author} is {model.id} with {model.downloads:,} downloads."
        else:
            return f"No models found for author {author}."
    except Exception as e:
        return f"Error: {str(e)}"


hub_stats_tool = Tool(
    name="get_hub_stats",
    func=get_hub_stats,
    description="Gets the most downloaded model by a Hugging Face author."
)