Upload app.py

app.py

@@ -12,6 +12,9 @@ from keras.preprocessing import image as ig
 import numpy as np
 from PIL import Image
 
+st.title("Klasfisikasi Batu Kertas Gunting")
+st.caption("Untuk data bisa di download disini")
+st.link_button("Link Berikut", "https://www.kaggle.com/datasets/drgfreeman/rockpaperscissors/download?datasetVersionNumber=2")
 model_saved = tf.keras.models.load_model('model_cnn_final.h5')
 labels = ['paper','scissors','rock']
 nb = len(labels)
@@ -43,5 +46,5 @@ if file is not None:
         use_column_width=True,
     )
     image = np.array(image)
-    if st.checkbox('Tampilkan Hasil Klasifikasi'):
+    if st.button('Tampilkan Hasil Klasifikasi'):
         run_data(image)