Update app.py

app.py

@@ -1,13 +1,21 @@
 import streamlit as st
 from  PIL import Image
 import tensorflow as tf
+import matplotlib.pyplot as plt
 
 model = tf.keras.models.load_model('modelo.h5')
 
 file = st.file_uploader("Por favor suba una imagen de ropa (jpg, png, jpeg)", type=['jpg','png','jpeg'])
 if file is not None:
     bytes_data = file.read()
-
+    x = np.array(Image.open(BytesIO(bytes_data)))
+    x = x / 255.00
+    plt.figure()
+    plt.imshow(imagen, cmap=plt.cm.binary)
+    plt.colorbar()
+    plt.grid(False)
+    plt.show()
+    
     col1, col2, col3 = st.columns(3)
 
     with col1: