Change the model to get embeddings

functions.py

@@ -215,5 +215,8 @@ model, tokenizer = load_model(
 pipe = pipeline("text2text-generation", model=model,
                 tokenizer=tokenizer, max_new_tokens=100)
 llm = HuggingFacePipeline(pipeline=pipe)
-emb_model, emb_tokenizer = load_embeddings_model(
-    "sentence-transformers/multi-qa-mpnet-base-dot-v1")
+
+# Sentence Transformers models
+# - paraphrase-multilingual-MiniLM-L12-v2
+# - multi-qa-mpnet-base-dot-v1
+emb_model, emb_tokenizer = load_embeddings_model("sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")