testt

main.py

@@ -102,11 +102,12 @@ async def upload_file(picture: UploadFile):
     os.makedirs(UPLOAD_FOLDER, exist_ok=True)
     file_path = os.path.join(UPLOAD_FOLDER, (picture.filename))
 
-    cv2.imwrite("./static/test_upload.jpg", file_path)
+    
 
     with open(file_path, 'wb') as f:
         f.write(picture.file.read())
     try:
+        cv2.imwrite("./static/test_upload.jpg", cv2.imread(file_path))
         processed_img = preprocessing(cv2.imread(file_path))
     except Exception as e:
         os.remove(file_path)
@@ -125,7 +126,8 @@ async def upload_file(picture: UploadFile):
 #         bentuk, persentase = data_train_pred.prediction(selected_model)
 #     return {'urls': urls, 'bentuk_wajah':bentuk[0], 'persen':persentase}
 
-# if __name__ == '__main__':
-#     import uvicorn
-#     print(f' * Running on {public_url}')
-#     uvicorn.run(app, host="0.0.0.0", port=8080)
+if __name__ == '__main__':
+    import uvicorn
+    public_url = ngrok.connect(8080).public_url
+    print(f' * Running on {public_url}')
+    uvicorn.run(app, host="0.0.0.0", port=8080)