Unit_3_Agentic_RAG / tools.py
ekarakatya's picture
Update tools.py
ec67e62 verified
Raw
History Blame Contribute Delete
3.41 kB
from smolagents import DuckDuckGoSearchTool
from smolagents import Tool
import random
from huggingface_hub import list_models
from duckduckgo_search import DDGS
# 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)}"
class LatestNewsTool(Tool):
name = "latest_news"
description = "Gets the latest news about a specific topic."
inputs = {
"topic": {
"type": "string",
"description": "The topic to search latest news for."
}
}
output_type = "string"
def forward(self, topic: str):
try:
with DDGS() as ddgs:
results = list(ddgs.news(
keywords=topic,
region="wt-wt",
safesearch="moderate",
timelimit="w",
max_results=5
))
if not results:
return f"No recent news found for topic: {topic}"
formatted_results = []
for item in results:
title = item.get("title", "No title")
source = item.get("source", "Unknown source")
date = item.get("date", "Unknown date")
body = item.get("body", "No summary available")
url = item.get("url", "")
formatted_results.append(
f"Title: {title}\n"
f"Source: {source}\n"
f"Date: {date}\n"
f"Summary: {body}\n"
f"URL: {url}"
)
return "\n\n---\n\n".join(formatted_results)
except Exception as e:
return f"Error fetching latest news for {topic}: {str(e)}"