Update app.py

app.py

@@ -4,7 +4,11 @@ from pathlib import Path
 import torch
 import gradio as gr
 from huggingface_hub import login
-from langchain_community.embeddings import HuggingFaceEmbeddings  # Correct import
+try:
+    from langchain_huggingface import HuggingFaceEmbeddings  # New recommended import
+except ImportError:
+    # Fallback to community version if new package not available
+    from langchain_community.embeddings import HuggingFaceEmbeddings
 from llama_index.core import (
     VectorStoreIndex,
     SimpleDirectoryReader,
@@ -46,7 +50,6 @@ docs = SimpleDirectoryReader(
     input_files=[str(p) for p in Path(".").glob("*.pdf")]
 ).load_data()
 
-# Using the correct import from langchain_community
 embed_model = LangchainEmbedding(
     HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
 )
@@ -88,7 +91,7 @@ def get_chat_engine():
 # ──────────────────── 3. Gradio UI ────────────────────
 with gr.Blocks(title="Café Eleven Chat") as demo:
     gr.Markdown("## ☕ Café Eleven Ordering Assistant")
-    chatbot = gr.Chatbot(height=500)
+    chatbot = gr.Chatbot(height=500, type="messages")  # Fixed warning
     user_in = gr.Textbox(placeholder="Hi, I'd like a latte...", label="Your order")
     clear = gr.Button("Clear Chat")