File size: 1,649 Bytes
3af6034 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | from langchain_core.tools import tool
from langchain_community.tools import DuckDuckGoSearchRun
import random
from huggingface_hub import list_models
search = DuckDuckGoSearchRun()
@tool
def web_search_tool(query: str) -> str:
"""Search the web for information about unfamiliar guests."""
return search.run(query)
@tool
def latest_news_tool(topic: str) -> str:
"""
Get the latest news about a specific topic.
"""
query = f"latest news about {topic}"
results = search.run(query)
return results
@tool
def get_weather_tool(location:str)-> str:
"""Fetches weather information for a given location."""
weather_condition =[
{"condition": "Rainy", "temp_c": 15},
{"condition": "Clear", "temp_c": 25},
{"condition": "Windy", "temp_c": 20}
]
data = random.choice(weather_condition)
return f"Wrather in {location} is {data['condition']} with temp : {data['temp_c']}c"
@tool
def hub_stats_tool(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)}"
|