Update qabot.py

qabot.py

@@ -2,7 +2,8 @@ from langchain_community.llms import CTransformers
 from langchain.prompts import PromptTemplate
 from langchain_core.runnables import RunnableSequence
 from langchain.chains import RetrievalQA
-from langchain_community.embeddings import GPT4AllEmbeddings
+#from langchain_community.embeddings import GPT4AllEmbeddings
+from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 
 from huggingface_hub import hf_hub_download
@@ -58,7 +59,7 @@ def create_qa_chain(prompt, llm, db):
 
 # Load vector DB
 def read_vector_db():
-    embedding_model = GPT4AllEmbeddings(model_file=model_file)
+    embedding_model = HuggingFaceEmbeddings(model_file = "sentence-transformers/all-MiniLM-L6-v2")
     return FAISS.load_local(vector_dp_path, embedding_model, allow_dangerous_deserialization=True)
 
 # Build everything