Update app.py

app.py

@@ -1,3 +1,30 @@
+!pip install gradio
+
+
+import os
+import shutil
+import glob
+from tqdm.notebook import tqdm
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+import tensorflow as tf
+from tensorflow import keras
+import cv2
+from PIL import Image
+from tensorflow.keras.preprocessing.image import ImageDataGenerator
+import random
+from random import seed
+#from livelossplot import PlotLossesKeras
+import math
+from tensorflow.keras.metrics import Recall,Precision,AUC
+from keras.models import load_model
+
+model = load_model('target_xception_model.h5')
+
+class_names={0:'خبيث',1:'حميد'}
+
 def predict_image(img):
     img_4d=img.reshape(-1,299,299,3)
     img_4d=img_4d/255