Update app.py

app.py

@@ -10,10 +10,13 @@ from langchain.chains import ConversationalRetrievalChain
 from htmlTemplates import css, bot_template, user_template
 from langchain.llms import HuggingFaceHub
 
-from langchain.embeddings import HuggingFaceInstructEmbeddings
+#from langchain.embeddings import HuggingFaceInstructEmbeddings
+#embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
+#print(embeddings.embed_query("This should now work."))
+
+from langchain.embeddings import HuggingFaceEmbeddings
+#embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
 
-embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
-print(embeddings.embed_query("This should now work."))
 
 def get_pdf_text(pdf_docs):
     text = ""
@@ -38,7 +41,8 @@ def get_text_chunks(text):
 def get_vectorstore(text_chunks):
     #embeddings = OpenAIEmbeddings()
     #embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
-    embeddings=HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
+    #embeddings=HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-base")
+    embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2") 
     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
     return vectorstore