Update qabot.py

qabot.py

@@ -29,9 +29,11 @@ model_file = hf_hub_download(
 # Vector store location
 vector_dp_path = "/home/user/app/vectorstores/db_faiss"
 
+request_model = "sentence-transformers/distiluse-base-multilingual-cased-v1"
+
 from prepare_vector_dp import create_dp_from_files
 #create_db_from_text()
-create_dp_from_files()
+create_dp_from_files(request_model)
 
 # Load LLM with CTransformers
 def load_llm(model_file):
@@ -60,7 +62,7 @@ def create_qa_chain(prompt, llm, db):
 
 # Load vector DB
 def read_vector_db():
-    embedding_model = HuggingFaceEmbeddings(model_name = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
+    embedding_model = HuggingFaceEmbeddings(model_name = request_model)
     return FAISS.load_local(vector_dp_path, embedding_model, allow_dangerous_deserialization=True)
 
 # Build everything