Update app.py

app.py

@@ -47,29 +47,32 @@ def get_text_chunks(text):
     return chunks
 
 
-# def get_vectorstore(text_chunks):
-#     # embeddings = OpenAIEmbeddings()
+def get_vectorstore(text_chunks):
 
-#     #  pip install InstructorEmbedding
-#     #  pip install sentence-transformers==2.2.2
-#     embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
+    st.write('Here in vector store....', unsafe_allow_html=True)
+    # embeddings = OpenAIEmbeddings()
 
-#     #  from InstructorEmbedding import INSTRUCTOR
-#     # model = INSTRUCTOR('hkunlp/instructor-xl')
-#     # sentence = "3D ActionSLAM: wearable person tracking in multi-floor environments"
-#     # instruction = "Represent the Science title:"
-#     # embeddings = model.encode([[instruction, sentence]])
+    #  pip install InstructorEmbedding
+    #  pip install sentence-transformers==2.2.2
+    embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
 
-#     # embeddings = model.encode(text_chunks)
-#     print('have Embeddings:   ')
+    st.write('Here in vector store - got embeddings ', unsafe_allow_html=True)
+    #  from InstructorEmbedding import INSTRUCTOR
+    # model = INSTRUCTOR('hkunlp/instructor-xl')
+    # sentence = "3D ActionSLAM: wearable person tracking in multi-floor environments"
+    # instruction = "Represent the Science title:"
+    # embeddings = model.encode([[instruction, sentence]])
 
-#     # text_chunks="this is a test"
-#     #   FAISS,  Chroma and other vector databases
-#     #
-#     vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
-#     print('FAISS succeeds:   ')
+    # embeddings = model.encode(text_chunks)
+    print('have Embeddings:   ')
 
-#     return vectorstore
+    # text_chunks="this is a test"
+    #   FAISS,  Chroma and other vector databases
+    #
+    # vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
+    print('FAISS succeeds:   ')
+
+    return vectorstore
 
 # def get_conversation_chain(vectorstore):
 #     # llm = ChatOpenAI()