Update app.py

app.py

@@ -69,7 +69,7 @@ class DetectionPipeline:
 
 detection_pipeline = DetectionPipeline(detector=mtcnn, n_frames=20, batch_size=60)
 
-model = tf.keras.models.load_model("p1")
+model = tf.saved_model.load("p1")
 
 def deepfakespredict(input_video):
     faces = detection_pipeline(input_video)
@@ -79,8 +79,8 @@ def deepfakespredict(input_video):
     fake = 0
 
     for face in faces:
-        face2 = face / 255
-        pred = model.predict(np.expand_dims(face2, axis=0))[0]
+        face2 = (face / 255).astype(np.float32)
+        pred = model(np.expand_dims(face2, axis=0))[0]
         total += 1
 
         pred2 = pred[1]