Update app.py

app.py

@@ -19,7 +19,11 @@ groq_client = Client(api_key=HUGGINGFACE_KEY)
 embedder = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
 
 # Paths
-DOCUMENTS_FOLDER = "documents"
+file_path = "RagBaseApp/Atomic habits ( PDFDrive ).pdf"
+
+with pdfplumber.open(file_path) as pdf:
+    for page in pdf.pages:
+        print(page.extract_text())  
 VECTORSTORE_FOLDER = "vectorstore"
 
 # Initialize FAISS vector store
@@ -63,7 +67,7 @@ if st.button("Process Documents"):
     st.success("Documents processed and vectorstore updated!")
 
 # User interface
-st.title("RAG Application with Streamlit")
+st.title("Atomic Habits RAG Application")
 
 user_query = st.text_input("Enter your query:")