Update flask_app.py

flask_app.py

@@ -6,12 +6,6 @@ import re
 import tempfile
 from flask import Flask, request, jsonify, render_template
 
-# Pre-download and save the embedding model
-from sentence_transformers import SentenceTransformer
-model = SentenceTransformer("sentence-transformers/paraphrase-MiniLM-L3-v2")
-model.save("models/paraphrase-MiniLM-L3-v2")
-
-
 # Disable CUDA and excessive parallel threads to save memory
 os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
@@ -92,7 +86,7 @@ def upload_file():
     # Light embedding model (fast + low memory)
     try:
         # embeds = HuggingFaceEmbeddings(model_name="sentence-transformers/paraphrase-MiniLM-L3-v2")
-        embeds = HuggingFaceEmbeddings(model_name="./models/paraphrase-MiniLM-L3-v2")  # local model (offline)
+        embeds = HuggingFaceEmbeddings(model_name="./models/paraphrase-MiniLM-L3-v2")
         vector_store = FAISS.from_documents(chunks, embeds)
         retriever = vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 5})