try new command

app/app.py

@@ -73,11 +73,25 @@ def upload():
     if data_url:
         # Remove header from base64 encoded image
         img_data = data_url.split(',')[1]
+
+    
+
+        # Decode the base64 string
+        image_data = base64.b64decode(img_data)
+
+        # Create a secure filename
+        filename = f'image_{imageID}.png'
+
+        # Upload the file to GCS
+        blob = bucket.blob(filename)
+        blob.upload_from_string(image_data, content_type='image/png')
+        blob.make_public()
         
         # Save the image to a file
-        image_path = os.path.join(app.config['UPLOAD_FOLDER'], f'image_{imageID}.png')
-        with open( image_path,'wb') as f:
-            f.write(base64.b64decode(img_data))
+        #image_path = os.path.join(app.config['UPLOAD_FOLDER'], f'image_{imageID}.png')
+        #with open( image_path,'wb') as f:
+            #f.write(base64.b64decode(img_data))
+        image_path = blob.public_url
 
         if useGAN == False:
             answer = run_model_evaluation(image_path, useGan = False, imageID = imageID)

requirements.txt

@@ -5,6 +5,7 @@ torchvision
 torchaudio
 tensorflow
 google-cloud-storage
+google-auth
 keras
 pandas
 gunicorn