Update model.py

model.py

@@ -7,7 +7,7 @@ def classify(img):
     im = img
     lt = ["other","Bone","Brain","eye","kidney","chest","skin"] 
     im = cv2.resize(im,(52,52))
-    model = tf.keras.models.load_model("Models/all-in-one.h5")
+    model = tf.keras.models.load_model("Models/all-in-one.h5",compile=False)
     result = model.predict(np.array([im]))
     a = np.argmax(result)
     c=""
@@ -31,7 +31,7 @@ def classify(img):
 
 def bone_net(img):
     img = cv2.resize(img,(224,224))
-    model = tf.keras.models.load_model("Models/Fracture_detection.h5")
+    model = tf.keras.models.load_model("Models/Fracture_detection.h5",compile=False)
     result = model.predict(np.array([img]))
     op=""
     if result[0]<0.5: