Update tools.py

tools.py

@@ -124,7 +124,7 @@ tools = [
 from langgraph.graph import StateGraph
 from langgraph.graph.message import MessagesState
 
-def build_graph(provider: str = "groq", csv_file_path: str = "embeddings.csv"):
+def build_graph(csv_file_path: str = "embedding_database.csv"):
     """Build the LangGraph with CSV-based vector store and tools."""
     
     # Initialize CSV vector store
@@ -137,7 +137,7 @@ def build_graph(provider: str = "groq", csv_file_path: str = "embeddings.csv"):
 
     llm = HuggingFaceEndpoint(
         endpoint_url="https://api.endpoints.huggingface.co/v1/completions",
-        huggingfacehub_api_token="your_huggingface_token",
+        huggingfacehub_api_token="inference",
         model_kwargs={"max_tokens": 512}
     )
 
@@ -183,7 +183,7 @@ if __name__ == "__main__":
     question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
     
     # Build the graph (you'll need to provide the path to your CSV file)
-    graph = build_graph(provider="groq", csv_file_path="your_embeddings.csv")
+    graph = build_graph(csv_file_path="embedding_database.csv")
     
     # Run the graph
     messages = [HumanMessage(content=question)]