Update app.py

app.py

@@ -17,6 +17,9 @@ documents = loader.load()
 text_splitter = CharacterTextSplitter(chunk_size=100, chunk_overlap=0)
 vdocuments = text_splitter.split_documents(documents)
 
+# Extract the text from the Document objects
+docs_text = [doc.text for doc in vdocuments]
+
 model = "BAAI/bge-base-en-v1.5"
 encode_kwargs = {
     "normalize_embeddings": True
@@ -26,7 +29,7 @@ embeddings = HuggingFaceBgeEmbeddings(
 )
 
 # Create FAISS vector store for API embeddings
-api_db = FAISS.from_texts(texts=vdocuments, embedding=embeddings)
+api_db = FAISS.from_texts(texts=docs_text, embedding=embeddings)
 
 # Define the PDF retrieval function
 def pdf_retrieval(query):