degbu embeddings

app.py

@@ -143,8 +143,8 @@ with col1:
 
     st.divider()
 
-    # index = VectorStoreIndex.from_documents(parsed_document)
-    # query_engine = index.as_query_engine()
+    index = VectorStoreIndex.from_documents(parsed_document)
+    query_engine = index.as_query_engine()
 
     prompt_txt = 'Summarize this document in a 3-5 sentences.'
     prompt = st.text_area(
@@ -153,8 +153,8 @@ with col1:
         value=prompt_txt
     )
 
-    # response = qa_engine.query(prompt)
-    # st.write(response.response)
+    response = qa_engine.query(prompt)
+    st.write(response.response)
 
 with col2:
     tab1, tab2 = st.tabs(["Uploaded File", "Parsed File",])