diff --git a/test-setup.py b/test-setup.py
deleted file mode 100644
index a1a8998..0000000
--- a/test-setup.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import os
-import pathlib
-from pycoral.utils import edgetpu
-from pycoral.utils import dataset
-from pycoral.adapters import common
-from pycoral.adapters import classify
-from PIL import Image
-
-model_file = os.path.join(
-    "models", "ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite"
-)
-print(os.path.isfile(model_file))
-
-label_file = os.path.join("models", "coco_labels.txt")
-print(os.path.isfile(label_file))
-
-image_file = os.path.join("images", "parrot.jpg")
-print(os.path.isfile(image_file))
-
-# Initialize the TF interpreter
-interpreter = edgetpu.make_interpreter(model_file)
-interpreter.allocate_tensors()
-
-# Resize the image
-size = common.input_size(interpreter)
-image = Image.open(image_file).convert("RGB").resize(size, Image.ANTIALIAS)
-
-# Run an inference
-common.set_input(interpreter, image)
-interpreter.invoke()
-classes = classify.get_classes(interpreter, top_k=1)
-
-# Print the result
-labels = dataset.read_label_file(label_file)
-for c in classes:
-    print("%s: %.5f" % (labels.get(c.id, c.id), c.score))