Update app.py

app.py

@@ -176,7 +176,7 @@ if picture:
     # Check if there are face landmarks detected
     gray = cv2.cvtColor(frm, cv2.COLOR_BGR2GRAY)
     average_brightness = cv2.mean(gray)[0]
-    st.text(str(average_brightness))
+    # st.text(str(average_brightness))
     if average_brightness < 110:
         st.text("إضاءة غير جيدة")
         st.text("انتقل الى مكان جيد الإضاءة")
@@ -221,9 +221,9 @@ if picture:
                 X_test_array_reshaped = np.expand_dims(X_array, axis=-1)
                 prediction = model.predict(X_test_array_reshaped)
                 prediction2 = model2.predict(X_test_array_reshaped)
-                if prediction >= 0.90 and prediction2 >= 0.0000000000001:
+                if prediction >= 0.90 and prediction2 >= 0.00000000000001:
                     st.text("صورة حقيقية")
-                    st.text(str(prediction[0]))
+                    # st.text(str(prediction[0]))
                     # st.text(str(prediction2[0]))
                 else:
                     st.text("صورة مزيفة")