Update app.py

app.py

@@ -176,8 +176,9 @@ if picture:
     # Check if there are face landmarks detected
     gray = cv2.cvtColor(frm, cv2.COLOR_BGR2GRAY)
     average_brightness = cv2.mean(gray)[0]
-    if average_brightness < 70:
+    if average_brightness < 100:
         st.text("إضاءة غير جيدة")
+        st.text(str[average_brightness])
         st.text("انتقل الى مكان جيد الإضاءة")
     else:
 
@@ -220,7 +221,7 @@ 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:
+                if prediction >= 0.93:
                     st.text("صورة حقيقية")
                     st.text(str(prediction[0]))
                     # st.text(str(prediction2[0]))