Update app.py

app.py

@@ -1,11 +1,14 @@
 import streamlit as st
 from  PIL import Image
+import tensorflow as tf
+
+model = tf.keras.models.load_model('model.h5')
 
 file = st.file_uploader("Por favor suba una imagen de ropa", type=['jpg','png','jpeg'])
 if file is not None:
     bytes_data = file.read()
 
-    col1, col2, col3 = st.beta_columns([1,6,1])
+    col1, col2, col3 = st.columns(3)
 
     with col1:
         st.write("")