more tools

app.py

@@ -8,7 +8,7 @@ from langgraph.graph import START, StateGraph
 from langgraph.prebuilt import tools_condition
 from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
 
-from tools import guest_info_tool
+from tools import *
 
 # Generate the chat interface, including the tools
 llm = HuggingFaceEndpoint(
@@ -17,7 +17,7 @@ llm = HuggingFaceEndpoint(
 )
 
 chat = ChatHuggingFace(llm=llm, verbose=True)
-tools = [guest_info_tool]
+tools = [search_tool, weather_info_tool, hub_stats_tool]
 chat_with_tools = chat.bind_tools(tools)
 
 # Generate the AgentState and Agent graph
@@ -47,7 +47,7 @@ builder.add_conditional_edges(
 builder.add_edge("tools", "assistant")
 alfred = builder.compile()
 
-messages = [HumanMessage(content="Tell me about our guest named 'Lady Ada Lovelace'.")]
+messages = [HumanMessage(content="Who is Facebook and what's their most popular model?")]
 response = alfred.invoke({"messages": messages})
 
 print("🎩 Alfred's Response:")

tools.py

@@ -1,5 +1,8 @@
+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
 
@@ -17,4 +20,46 @@ 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()