Update app.py

app.py

@@ -50,16 +50,16 @@ def deepfakespredict(input_img ):
         pred = model.predict(np.expand_dims(face_image4, axis=0))[0]
 
         if pred[1] >= 0.6:
-            text = "The image is fake."
+            text = "The image is FAKE."
         elif pred[0] >= 0.6:
-            text = "The image is real."
+            text = "The image is REAL."
         else:
-            text = "The image might be real or fake."
+            text = "The image may be REAL or FAKE."
             
     else:
         text = "Face is not detected in the image."
     
-    text2 = "Real: " + str(np.round(pred[0]*100, 2)) + "%, Fake: " + str(np.round(pred[1]*100, 2)) + "%"
+    text2 = "REAL: " + str(np.round(pred[0]*100, 2)) + "%, FAKE: " + str(np.round(pred[1]*100, 2)) + "%"
 
     return input_img, text, text2, {labels[i]: float(pred[i]) for i in range(2)}