Clean code

app.py

@@ -135,14 +135,7 @@ def index_repo(textbox: str, dropdown: str) -> Response:
                 num_workers=12,
                 runtime = {"tensor_db": True}
             )
-        # NOTE: read_only=False because we want to ingest documents
-        # NOTE: This will raise a `deeplake.util.exceptions.LockedException` if dataset is already locked
-        # NOTE: change it to read_only=True when querying the dataset
-
-        # If it is empty, then hydrate otherwise leave it alone
-        print(db)
-        print(db.vectorstore.dataset)
-        print(len(db.vectorstore.dataset))
+
         if db is None or len(db.vectorstore.dataset) == 0:
             print("Dataset doesn't exist, fetching data")
             try:
@@ -173,7 +166,7 @@ def index_repo(textbox: str, dropdown: str) -> Response:
                 for i in range(0, len(texts), 500):
                     print("Adding documents " + str(i))
                     db.add_documents(texts[i:i+500])
-                    time.sleep(.1)
+                    time.sleep(.5)
 
             except Exception as e:
                 return Response(
@@ -182,13 +175,6 @@ def index_repo(textbox: str, dropdown: str) -> Response:
                     error=str(e),
                     stdout="",
                 )
-            # print("Dataset not empty. Deleting existing dataset...")
-            # db.ds.delete()
-            # print("Done.")
-            # # Reinitialize
-            # db = DeepLake(dataset_path=dataset_path,
-            #                 embedding_function=embeddings,
-            #                 token=os.environ['ACTIVELOOP_TOKEN'], read_only=False)
 
     except Exception as e:
         return Response(