Update src/streamlit_app.py

src/streamlit_app.py

@@ -167,25 +167,8 @@ elif choose == "CNN":
     st.write("Aplikasi ini menggunakan model CNN untuk mengklasifikasikan data bandwidth menjadi Fake, Genuine, atau No Heavy Activity")
 
     # Upload file
-    training_file = st.file_uploader("Upload Data Training (.txt)", type=["txt"],accept_multiple_files=True)
-    real_files = st.file_uploader("Upload Data Real (.txt)", type=["txt"], accept_multiple_files=True)
-
-    if training_file:
-        if training_file.size > 50 * 1024 * 1024:  # Batasi ukuran file <= 50MB
-            st.error("Ukuran file training melebihi 50MB!")
-        else:
-            content = training_file.read().decode("utf-8")
-            st.write("File training berhasil diupload ✅")
-            st.code(f"100 karakter pertama:\n{content[:100]}")
-    
-    if real_files:
-        for file in real_files:
-            if file.size > 50 * 1024 * 1024:
-                st.error(f"File {file.name} melebihi 50MB!")
-            else:
-                content = file.read().decode("utf-8")
-                st.write(f"File {file.name} berhasil diupload ✅")
-                st.code(f"100 karakter pertama:\n{content[:100]}")
+    training_file = st.file_uploader("Upload Data Training (.txt)", accept_multiple_files=True)
+    real_files = st.file_uploader("Upload Data Real (.txt)", accept_multiple_files=True)
 
     # Parameter model
     epochs = st.number_input("Jumlah Epoch", min_value=1, value=2000)