Upload tools.py
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tools.py
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from langchain.tools import Tool
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from langchain_community.tools.tavily_search import TavilySearchResults
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from huggingface_hub import list_models
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import random
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import os
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from dotenv import load_dotenv
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load_dotenv()
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search_tool = TavilySearchResults(tavily_api_key=os.getenv("TAVILY_API_KEY"))
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def get_weather_info(location: str) -> str:
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weather_conditions = [
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{"condition": "Rainy", "temp_c": 15},
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{"condition": "Clear", "temp_c": 25},
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{"condition": "Windy", "temp_c": 20}
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]
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data = random.choice(weather_conditions)
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return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C"
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weather_info_tool = Tool(
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name="get_weather_info",
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func=get_weather_info,
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description="Returns dummy weather information for a given location."
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)
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def get_hub_stats(author: str) -> str:
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try:
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models = list(list_models(author=author, sort="downloads", direction=-1, limit=1))
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if models:
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model = models[0]
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return f"The most downloaded model by {author} is {model.id} with {model.downloads:,} downloads."
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else:
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return f"No models found for author {author}."
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except Exception as e:
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return f"Error: {str(e)}"
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hub_stats_tool = Tool(
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name="get_hub_stats",
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func=get_hub_stats,
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description="Gets the most downloaded model by a Hugging Face author."
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)
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