Update app.py

app.py

@@ -65,7 +65,7 @@ if uploaded_file is not None:
     #pdf_loader = PDFMinerLoader(pdf_file)
     #dat_nik = pdf_loader.load()
     text_splitter = NLTKTextSplitter(chunk_size = 500,chunk_overlap = 100)
-    chunks = test_splitter.split_documents([text])
+    chunks = text_splitter.split_documents([text])
 
     embedding_model = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
 
@@ -73,7 +73,7 @@ if uploaded_file is not None:
 
     db.persist()
 
-    db_connection = Chroma(persist_directory="./chroma_db_", embedding_function=embedding_model)
+    db_connection = Chroma(persist_directory="./chroma_db_1", embedding_function=embedding_model)
 
     retriever = db_connection.as_retriever(search_kwargs={"k": 5})