Update app.py

app.py

@@ -7,6 +7,13 @@ from langchain.schema import Document
 from sentence_transformers import SentenceTransformer
 from datasets import load_dataset
 import nltk
+import nltk
+nltk.download('punkt')  # ✅ Correct package
+import nltk
+import os
+nltk.data.path.append("/usr/local/share/nltk_data")  # ✅ Set correct path
+nltk.download("punkt")
+
 
 # ✅ Load the Sentence Transformer Embedding Model
 model_name = "sentence-transformers/all-MiniLM-L6-v2"