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from smolagents import DuckDuckGoSearchTool | |
from smolagents import Tool | |
import random | |
from huggingface_hub import list_models | |
# Initialize the DuckDuckGo search tool | |
#search_tool = DuckDuckGoSearchTool() | |
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" | |
def forward(self, location: str): | |
# Dummy weather data | |
weather_conditions = [ | |
{"condition": "Rainy", "temp_c": 15}, | |
{"condition": "Clear", "temp_c": 25}, | |
{"condition": "Windy", "temp_c": 20} | |
] | |
# Randomly select a weather condition | |
data = random.choice(weather_conditions) | |
return f"Weather in {location}: {data['condition']}, {data['temp_c']}Β°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" | |
def forward(self, author: str): | |
try: | |
# List models from the specified author, sorted by downloads | |
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)}" | |