Update app.py

app.py

@@ -63,6 +63,8 @@ elif pdf_source == "Enter a PDF URL":
                     st.session_state.processed = False  # Reset processing
                 else:
                     st.error("❌ Failed to download PDF. Check the URL.")
+        except Exception as e:  # <-- FIXED MISSING EXCEPTION HANDLING
+            st.error(f"Error downloading PDF: {e}")
 
 # Step 2: Process PDF and Create Vector Store (Only if Not Processed)
 if pdf_path and not st.session_state.processed:
@@ -74,7 +76,7 @@ if pdf_path and not st.session_state.processed:
         # Step 3: Chunking
         with st.spinner("Chunking the document..."):
             model_name = "nomic-ai/modernbert-embed-base"
-            embedding_model = HuggingFaceEmbeddings(model_name=model_name, model_kwargs={'device': 'cpu'}, encode_kwargs= {'normalize_embeddings': False})
+            embedding_model = HuggingFaceEmbeddings(model_name=model_name, model_kwargs={'device': 'cpu'}, encode_kwargs={'normalize_embeddings': False})
             text_splitter = SemanticChunker(embedding_model)
             documents = text_splitter.split_documents(docs)
             st.session_state.documents = documents