Update app.py

app.py

@@ -210,11 +210,10 @@ vectorization.adapt(data_txt)
 
 def generate_caption(image):
     
-    if isinstance(image, np.ndarray):
-        img = tf.constant(image)
-        img = tf.image.resize(img, IMAGE_SIZE)
-        img = tf.image.convert_image_dtype(img, tf.float32)
-        
+
+    img = tf.constant(image)
+    img = tf.image.resize(img, IMAGE_SIZE)
+    img = tf.image.convert_image_dtype(img, tf.float32)
     img = tf.expand_dims(img, 0)
     img = loaded_model.cnn_model(img)
     encoded_img = loaded_model.encoder(img, training=False)