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