Update app.py

app.py

@@ -53,13 +53,13 @@ def dice_coef(y_true, y_pred, smooth=1):
 seg_model = tf.keras.models.load_model('seg_unet_model.h5', custom_objects={'Combo_loss': Combo_loss, 'dice_coef': dice_coef})
 
 inputs = gr.inputs.Image(type="pil", label="Upload an image", source="upload")
-inputs = get_opencv_img_from_buffer(inputs)
 image_output = gr.outputs.Image(type="pil", label="Output Image")
 # outputs = gr.outputs.HTML() #uncomment for single class output 
 
 def gen_pred(img=inputs, model=seg_model):
-    #rgb_path = os.path.join(test_image_dir,img)
-    #img = cv2.imread(rgb_path)
+    # rgb_path = os.path.join(test_image_dir,img)
+    # img = cv2.imread(rgb_path)
+    img = cv2.imread("./003e2c95d.jpg")
     img = img[::IMG_SCALING[0], ::IMG_SCALING[1]]
     img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
     img = img/255