Update app.py

app.py

@@ -10,6 +10,7 @@ from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores import Chroma
 from langchain_groq import ChatGroq
 from dotenv import load_dotenv
+from langchain.schema import Document
 
 load_dotenv()  # Load environment variables from .env file
 
@@ -48,7 +49,9 @@ if process_url_clicked:
         chunk_size=1000
     )
     main_placeholder.text("Text Splitting...Started...✅✅✅")
-    docs = text_splitter.split_documents(data)
+    docs = [Document(page_content=text) for text in data]
+    docs = text_splitter.split_documents(docs)
+    #docs = text_splitter.split_documents(data)
     
     # Create embeddings and save to Chroma vector store
     embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")