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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']}°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)}"
from langchain.tools import Tool
from huggingface_hub import list_models
import random
from langchain_community.tools import DuckDuckGoSearchRun
search_tool = DuckDuckGoSearchRun()
results = search_tool.invoke("Who's the current President of France?")
print(results)
def get_weather_info(location: str) -> str:
"""Fetches dummy weather information for a given location."""
# 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']}°C"
# Initialize the tool
weather_info_tool = Tool(
name="get_weather_info",
func=get_weather_info,
description="Fetches dummy weather information for a given location."
)
def get_hub_stats(author: str) -> str:
"""Fetches the most downloaded model from a specific author on the Hugging Face Hub."""
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)}"
# Initialize the tool
hub_stats_tool = Tool(
name="get_hub_stats",
func=get_hub_stats,
description="Fetches the most downloaded model from a specific author on the Hugging Face Hub."
)
# Example usage
print(hub_stats_tool("facebook")) # Example: Get the most downloaded model by Facebook |