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import random
from langchain_community.retrievers import BM25Retriever
from langchain.tools import Tool
from huggingface_hub import list_models
from langchain_community.tools import DuckDuckGoSearchRun
from retriever import docs
bm25_retriever = BM25Retriever.from_documents(docs)
def extract_text(query: str) -> str:
"""Retrieves detailed information about gala guests based on their name or relation."""
results = bm25_retriever.invoke(query)
if results:
return "\n\n".join([doc.page_content for doc in results[:3]])
else:
return "No matching guest information found."
guest_info_tool = Tool(
name="guest_info_retriever",
func=extract_text,
description="Retrieves detailed information about gala guests based on their name or relation."
)
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."
)
search_tool = DuckDuckGoSearchRun() |