Update app.py

app.py

@@ -2,9 +2,6 @@ import gradio as gr
 import argparse
 import numpy as np
 import pickle
-import sklearn
-
-model= pickle.load(open('ALL_MODELS.pkl', 'rb'))
 
 def preprocess_image(img):
     import cv2
@@ -89,6 +86,7 @@ def get_feature(img):
         imdist = cv2.resize(imdist, (0, 0), fx=0.5, fy=0.5, interpolation=cv2.INTER_NEAREST)
     return feat
 
+model= pickle.load(open('ALL_MODELS.pkl', 'rb'))
 
 def classify_image(image):
     X_test = get_feature(image)