Update app.py

app.py

@@ -47,16 +47,17 @@ combined_documents = recursive_framework_document + recursive_blueprint_document
 #embeddings = AutoModel.from_pretrained("Cheselle/finetuned-arctic-sentence")
 #tokenizer = AutoTokenizer.from_pretrained("Cheselle/finetuned-arctic-sentence")
 
-# Assuming ai_framework_document is a list of documents or pages
-ai_framework_text = "".join([doc.get_text("text") for doc in ai_framework_document])
+# Assuming ai_framework_document and ai_blueprint_document are lists of langchain_core.documents.Document
+ai_framework_text = "".join([doc.page_content for doc in ai_framework_document])
 
 # Similarly for ai_blueprint_document
-ai_blueprint_text = "".join([doc.get_text("text") for doc in ai_blueprint_document])
+ai_blueprint_text = "".join([doc.page_content for doc in ai_blueprint_document])
 
 # Now you can use these text variables
 embeddings = embedding_model.encode(ai_framework_text + ai_blueprint_text)
 
 
+
 from sentence_transformers import SentenceTransformer
 embedding_model = SentenceTransformer("Cheselle/finetuned-arctic-sentence")
 #embeddings = embedding_model.encode(ai_framework_text + ai_blueprint_text)