Update app.py

app.py

@@ -7,12 +7,13 @@ embeddings = HuggingFaceEmbeddings()
 #with open('Gita.txt') as f:
     #gita = f.read()
 gita="story of Arjun and Krishna refered to as song celestial"
-text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-texts = text_splitter.split_text(gita)
-docsearch = Chroma.from_texts(texts, embeddings)
+#text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+#texts = text_splitter.split_text(gita)
+#docsearch = Chroma.from_texts(texts, embeddings)
 def answer(query):
-  docs = docsearch.similarity_search(query)
-  out=docs[0].page_content
+  #docs = docsearch.similarity_search(query)
+  #out=docs[0].page_content
+  out=gita
   return out
 demo = gr.Interface(fn=answer, inputs='text',outputs='text',examples=[['song celestial']])
 demo.launch()