Update app.py

app.py

@@ -3,11 +3,14 @@ from langchain.vectorstores import Chroma
 from langchain.docstore.document import Document
 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()
+#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(Gita)
+texts = text_splitter.split_text(documents)
 docsearch = Chroma.from_texts(texts, embeddings)
 def answer(query):
   docs = docsearch.similarity_search(query)