update req

main.py

@@ -24,6 +24,7 @@ from train_pred import TrainPred
 app = FastAPI()
 public_url = "https://lambang0902-test-space.hf.space"
 app.mount("/static", StaticFiles(directory="static"), name="static")
+
 # Tempat deklarasi variabel-variabel penting
 filepath = ""
 list_class = ['Diamond','Oblong','Oval','Round','Square','Triangle']
@@ -31,28 +32,24 @@ list_folder = ['Training', 'Testing']
 face_crop_img = True
 face_landmark_img = True
 landmark_extraction_img = True
-# #-----------------------------------------------------
-#
-#
-# #-----------------------------------------------------
+# -----------------------------------------------------
+
+# -----------------------------------------------------
 # Tempat deklarasi model dan sejenisnya
 selected_model = tf.keras.models.load_model(f'models/fc_model_1.h5', compile=False)
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')
 mp_drawing = mp.solutions.drawing_utils
 mp_face_mesh = mp.solutions.face_mesh
 drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
-# #-----------------------------------------------------
-#
-#
-# #-----------------------------------------------------
+# -----------------------------------------------------
+
+
+# -----------------------------------------------------
 # Tempat setting server
 UPLOAD_FOLDER = './upload'
 UPLOAD_MODEL = './models'
 ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg','zip','h5'}
-# app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
-# app.config['UPLOAD_MODEL'] = UPLOAD_MODEL
-# app.config['MAX_CONTENT_LENGTH'] = 500 * 1024 * 1024  # 500 MB
-# #-----------------------------------------------------
+# -----------------------------------------------------
 #Endpoints 
 #Root endpoints
 @app.get("/")