Update app.py

app.py

@@ -7,13 +7,12 @@ import pickle
 from tensorflow.keras.models import load_model
 import os
 
-os.system('wget -O model.h5 "https://drive.google.com/file/d/1UqXYR2e3c0VW8Ax4nYLvef7Vmlx3AEGi/view?usp=share_link')
-os.system('wget -O model2.pkl "https://drive.google.com/file/d/16FuBwWEhG7oHH2YGm8EkEDTbv6GSUbyg/view?usp=share_link')
+os.system('wget -O model.h5 "https://drive.google.com/u/0/uc?id=1UqXYR2e3c0VW8Ax4nYLvef7Vmlx3AEGi&export=download"')
+os.system('wget -O model2.pkl "https://drive.google.com/u/0/uc?id=16FuBwWEhG7oHH2YGm8EkEDTbv6GSUbyg&export=download"')
 
 # Load the RGB to hyperspectral conversion model
 #converion_model = load_model('/kaggle/input/convmo/Conversion_model.h5')
-converion_model = tf.keras.models.load_model('wget -O model.h5 "https://drive.google.com/u/0/uc?id=1UqXYR2e3c0VW8Ax4nYLvef7Vmlx3AEGi&export=download"
-')
+converion_model = tf.keras.models.load_model("model.5")
 
 # Load the cancer classification model
 #cancer_model = pickle.load(open("/kaggle/input/classi/ClassRF (1).pkl", "rb"))