Update app.py

app.py

@@ -63,13 +63,13 @@ def gen_pred(img, model=seg_model):
     img = img/255
     img = tf.expand_dims(img, axis=0)
     pred = model.predict(img)
-    # pred = np.squeeze(pred, axis=0)
-    
+    pred = np.squeeze(pred, axis=0)
+    im = Image.fromarray((pred * 255).astype(np.uint8))
     # img_bytes = pred.tobytes()
     # nparr = np.frombuffer(img_bytes, np.byte)
     # pred_pil = cv2.imdecode(nparr, cv2.IMREAD_REDUCED_COLOR_8)
     # return "UI in developing process ..."
-    return pred
+    return im
 
 title = "<h1 style='text-align: center;'>Semantic Segmentation</h1>"
 description = "Upload an image and get prediction mask"