Update app.py

app.py

@@ -114,7 +114,7 @@ docs = splitter.split_documents(docs)
 
 # Convert the document chunks to embeddings
 embedding_model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
-embeddings = [embedding_model.encode(doc.content) for doc in docs]
+embeddings = [embedding_model.encode(doc.page_content) for doc in docs]
 
 # Save the embeddings to the vector store
 vectorstore = Chroma.from_embeddings(embeddings=embeddings, documents=docs, persist_directory="./data")
@@ -171,3 +171,4 @@ demo.launch(debug=True)
 
 
 
+