Update app.py

app.py

@@ -5,12 +5,12 @@ from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import CharacterTextSplitter
 from langchain.document_loaders import TextLoader
 embeddings = HuggingFaceEmbeddings()
-#g=open('Gita.txt')
-#Gita=g.read()
-loader = TextLoader('Gita.txt')
-documents = loader.load()
+g=open('Gita.txt')
+Gita=g.read()
+#loader = TextLoader('Gita.txt')
+#documents = loader.load()
 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-texts = text_splitter.split_text(documents)
+texts = text_splitter.split_text(Gita)
 docsearch = Chroma.from_texts(texts, embeddings)
 def answer(query):
   docs = docsearch.similarity_search(query)