added README

README.md

@@ -6,4 +6,14 @@ This repository is for a interesting project involving Google's Vision API and s
 
 ## How does it work?
 
-This application is built in Python and utilizes the `google-cloud` python module. Install using `pip install google-cloud`. A key should be provided by google in a `.json` file, insert this at `./package/key/photo_tagging_service.json`.
+This application is built in Python and utilizes the `google-cloud` python module. Install using `pip install google-cloud`. A key should be provided by google in a `.json` file, insert this at `./package/key/photo_tagging_service.json`.
+
+## Features
+
+Automatic tagging of photos using a high quality Vision API
+
+Automatic compression of photos for minimal data usage on both your and Google's end
+
+Support for .NEF RAW file compression with .XMP metadata files.
+
+- With added support for all non .NEF files with basic 

main.py

@@ -3,11 +3,5 @@ from package import app
 
 os.environ["GOOGLE_APPLICATION_CREDENTIALS"]=os.path.join(sys.path[0], 'package', 'key', 'photo_tagging_service.json')
 
-# if __name__ == "__main__":
-#     sys.exit(app.run())
-
-import exif
-path = 'E:\\Photography\\Colorado 2019\\DSC_7960.jpg'
-image = exif.Image(open(path, 'rb'))
-print(image.artist)
-print(dir(image))
+if __name__ == "__main__":
+    sys.exit(app.run())

package/app.py

@@ -58,7 +58,7 @@ def process_file(file_name, xmp):
         bytesIO = io.BytesIO()
         image.save(bytesIO, format='jpeg')
         image.close()
-        image = types.Image(content=bytesIO.getvalue())
+        image = vision.types.Image(content=bytesIO.getvalue())
         
         # Performs label detection on the image file
         response = client.label_detection(image=image)