new tools

app.py

@@ -13,6 +13,8 @@ import datasets
 from langchain.docstore.document import Document
 from langgraph.graph import START, StateGraph
 from langchain_community.retrievers import BM25Retriever
+from langchain_community.tools import DuckDuckGoSearchRun
+
 
 HUGGINGFACEHUB_API_TOKEN = os.environ["HUGGINGFACEHUB_API_TOKEN"]
 login(token=HUGGINGFACEHUB_API_TOKEN, add_to_git_credential=True)
@@ -99,7 +101,50 @@ guest_info_tool = Tool(
     description="Retrieves detailed information about gala guests based on their name or relation."
 )
 
-tools = [guest_info_tool]
+search_tool = DuckDuckGoSearchRun()
+
+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."
+)
+
+tools = [guest_info_tool, search_tool, weather_info_tool, hub_stats_tool]
 chat_with_tools = model.bind_tools(tools)
 
 # Generate the AgentState and Agent graph