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from smolagents import DuckDuckGoSearchTool |
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from smolagents import Tool |
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import random |
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from huggingface_hub import list_models |
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class WeatherInfoTool(Tool): |
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name = "weather_info" |
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description = "Fetches dummy weather information for a given location." |
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inputs = { |
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"location": { |
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"type": "string", |
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"description": "The location to get weather information for." |
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} |
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} |
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output_type = "string" |
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def forward(self, location: 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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class HubStatsTool(Tool): |
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name = "hub_stats" |
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description = "Fetches the most downloaded model from a specific author on the Hugging Face Hub." |
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inputs = { |
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"author": { |
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"type": "string", |
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"description": "The username of the model author/organization to find models from." |
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} |
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} |
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output_type = "string" |
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def forward(self, author: 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 fetching models for {author}: {str(e)}" |
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