Update app.py

app.py

@@ -8,6 +8,7 @@ from langchain_community.vectorstores import FAISS
 from langchain.chains import ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
 from langchain_community.llms import HuggingFaceEndpoint
+from langchain.schema import Document
 
 # Initialize environment
 api_token =os.getenv("HF_TOKEN")
@@ -44,7 +45,8 @@ def process_text(text):
 def create_db(splits):
     """Create vector database"""
     embeddings = HuggingFaceEmbeddings()
-    vectordb = FAISS.from_documents([{"page_content": text, "metadata": {}} for text in splits], embeddings)
+    documents = [Document(page_content=text, metadata={}) for text in splits]
+    vectordb = FAISS.from_documents(documents, embeddings)
     return vectordb
 
 def initialize_database(url, progress=gr.Progress()):