diff --git a/ebl_ai/generate_bounding_boxes_resource.py b/ebl_ai/generate_bounding_boxes_resource.py
index 9c48809..8b4f5d3 100644
--- a/ebl_ai/generate_bounding_boxes_resource.py
+++ b/ebl_ai/generate_bounding_boxes_resource.py
@@ -4,6 +4,7 @@
 import falcon
 import numpy as np
 from PIL import Image
+
 Image.MAX_IMAGE_PIXELS = None
 
 from ebl_ai.model import Model
diff --git a/ebl_ai/model.py b/ebl_ai/model.py
index e234f99..8cde5bd 100644
--- a/ebl_ai/model.py
+++ b/ebl_ai/model.py
@@ -23,7 +23,6 @@ class Model:
     def __init__(self, configFile: str, checkpoint: str):
         self.model = MMOCRInferencer(det=configFile, det_weights=checkpoint)
 
-
     def _predict(self, image_path: str) -> List[List[float]]:
         x = self.model(image_path)["predictions"]
         result = []
@@ -72,4 +71,3 @@ def predict(
                 boundary_results = self._predict(file.name)
 
         return self._polygons_with_probabilites_to_rectangle(boundary_results)
-
diff --git a/ebl_ai/tests/test_model.py b/ebl_ai/tests/test_model.py
index 195c3d3..83e47ac 100644
--- a/ebl_ai/tests/test_model.py
+++ b/ebl_ai/tests/test_model.py
@@ -12,7 +12,6 @@
 TEST_IMAGE_PATH = "ebl_ai/tests/test_image.jpg"
 
 
-#@pytest.mark.skip(reason="Takes very long")
 def test_model_predictions():
     model = Model(configFile=CONFIG_FILE, checkpoint=CHECKPOINT)
 
@@ -21,9 +20,7 @@ def test_model_predictions():
     assert isinstance(predictions[0], BoundingBoxesPrediction)
     assert len(predictions) > 1
 
-    model.show_result(TEST_IMAGE_PATH, "./test_image_prediction.jpg", False)
-
     img = Image.open(TEST_IMAGE_PATH)
-    predictions = model.predict(np.asarray(img))
+    predictions = model.model(np.asarray(img), show=True)
     assert isinstance(predictions[0], BoundingBoxesPrediction)
     assert len(predictions) > 1