Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import fitz  # PyMuPDF
-from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_text_splitters import RecursiveCharacterTextSplitter
 from langchain_community.vectorstores import FAISS
 from langchain_huggingface import HuggingFaceEmbeddings
 import os
@@ -53,7 +53,6 @@ class VectorSystem:
             return "⚠️ Please enter a Question."
 
         # We search primarily using the Question to find the 'Ground Truth' in the text.
-        # You could also concatenate (Question + " " + Answer) for a broader search.
         docs = self.vector_store.similarity_search(question, k=3)
         
         # Format the output
@@ -78,7 +77,7 @@ with gr.Blocks(title="EduGenius Context Retriever") as demo:
             # Step 1: Upload
             pdf_input = gr.File(label="1. Upload PDF Chapter", file_types=[".pdf"])
             upload_btn = gr.Button("Process PDF", variant="primary")
-            upload_status = gr.Textbox(label="Status", interactve=False)
+            upload_status = gr.Textbox(label="Status", interactive=False)
 
         with gr.Column(scale=2):
             # Step 2: Query