Update app.py

app.py

@@ -74,7 +74,7 @@ if uploaded_file is not None:
     pdf_vectors = embedding.encode(texts)
     vector_count = len(documents)
     example_data_generator = map(lambda i: (f'id-{i}', pdf_vectors[i], {"text": texts[i]}), range(vector_count))
-    if not index.describe_index_stats()['namespaces']:
+    if len(index.describe_index_stats()['namespaces'])!=0:
         index.delete(delete_all=True)
     for ids_vectors_chunk in chunks(example_data_generator, batch_size=100):
         index.upsert(vectors=ids_vectors_chunk)