Update app.py

app.py

@@ -16,6 +16,7 @@ import pytesseract
 from pdf2image import convert_from_path
 from huggingface_hub import Repository, login
 from huggingface_hub import hf_hub_download
+from langchain.schema import Document
 
 
 
@@ -58,9 +59,14 @@ def load_pdf(file_path):
 
 def prepare_vectorstore(data):
     text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=20, separator="\n")
-    texts = text_splitter.split_documents(data)
-    vectorstore = FAISS.from_texts(texts, embeddings)
+    # Create Document objects from the input data
+    documents = [Document(page_content=text) for text in data]
     
+    # Split the documents into chunks
+    chunks = text_splitter.split_documents(documents)
+    
+    # Create the vector store
+    vectorstore = FAISS.from_documents(chunks, embeddings)
     return vectorstore
 
 def create_chain(vectorstore):