degbu embeddings

app.py

@@ -137,9 +137,6 @@ def main():
 
         st.divider()
 
-        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(
             label="Enter you query.",
@@ -147,8 +144,11 @@ def main():
             value=prompt_txt
         )
 
-        response = query_engine.query(prompt)
-        st.write(response.response)
+        if parsed_document is not None:
+            index = VectorStoreIndex.from_documents(parsed_document)
+            query_engine = index.as_query_engine()
+            response = query_engine.query(prompt)
+            st.write(response.response)
 
     with col2:
         tab1, tab2 = st.tabs(["Uploaded File", "Parsed File",])