diff --git a/tests/test-google-vision.py b/tests/test-google-vision.py
deleted file mode 100644
index 729c7a3..0000000
--- a/tests/test-google-vision.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import io
-import os
-import asyncio
-
-# Imports the Google Cloud client library
-from google.cloud import vision
-
-# we set the env variable GOOGLE_APPLICATION_CREDENTIALS to the path of the json file
-os.environ[
-    "GOOGLE_APPLICATION_CREDENTIALS"
-] = "./../database/google-vision/botator-vision-8cd1030a7541.json"
-# Instantiates a client
-client = vision.ImageAnnotatorClient()
-
-
-# The name of the image file to annotate
-file_name = os.path.abspath("./../database/google-vision/label.jpg")
-print(file_name)
-# Loads the image into memory
-with io.open(file_name, "rb") as image_file:
-    content = image_file.read()
-
-image = vision.Image(content=content)
-
-# Performs label detection on the image file
-# response = client.label_detection(image=image)
-# labels = response.label_annotations
-
-# print('Labels:')
-# for label in labels:
-#    print(label.description)
-
-
-async def get_labels(image):
-    response = client.label_detection(image=image)
-    labels = response.label_annotations
-    return labels
-
-
-async def get_text(image):
-    response = client.text_detection(image=image)
-    texts = response.text_annotations
-    return texts
-
-
-# now we print the labels
-async def main():
-    labels = await get_labels(image)
-    print("Labels:")
-    for label in labels:
-        print(label.description)
-    texts = await get_text(image)
-    print("Texts:")
-    for text in texts:
-        print(text.description)
-
-
-# now we run the main function
-if __name__ == "__main__":
-    loop = asyncio.get_event_loop()
-    loop.run_until_complete(main())