Update app.py

app.py

@@ -23,10 +23,11 @@ print(dataset)
 splitter = RecursiveCharacterTextSplitter(chunk_size=100, chunk_overlap=15,separators=["\n\n", "\n", " ", ""])
 docs = splitter.create_documents(str(dataset))
 # Returns a list of documents
-
+print(docs)
 embedding_model = HuggingFaceEmbeddings(model_name = "all-MiniLM-L6-v2")
-embed = embedding_model.embed_documents(docs)
-#docs_text = [doc.text for doc in docs]
+docs_text = [doc.text for doc in docs]
+embed = embedding_model.embed_documents(docs_text)
+
 data = FAISS.from_embeddings(embed, embedding_model)
 #data = FAISS.from_texts(docs, embedding_model)