tf version fix and example added

app.py

@@ -64,11 +64,15 @@ def makeupTransfer(arr1,arr2):
   makeup = "input/ref.png"
   inference(no_makeup, makeup)
   return cv2.cvtColor(cv2.imread("output/scaled_2x.png"), cv2.COLOR_BGR2RGB)
-examples = [['faces/no_makeup/xfsy_0521.png',
-                'faces/makeup/vFG756.png'],
-            [
-              'faces/no_makeup/xfsy_0068.png',
-              'faces/makeup/XMY-136.png']]
+examples = [['faces/no_makeup/xfsy_0226.png', 'faces/makeup/XMY-136.png'],
+            ['faces/no_makeup/XYUH-006.png', 'faces/makeup/XMY-266.png'],
+            ['faces/no_makeup/vSYYZ306.png', 'faces/makeup/vRX916.png'],
+            ['faces/no_makeup/xfsy_0405.png', 'faces/makeup/vFG137.png'],
+            ['faces/no_makeup/xfsy_0055.png', 'faces/makeup/vFG756.png'],
+            ['faces/no_makeup/xfsy_0521.png', 'faces/makeup/XMY-074.png'],
+            ['faces/no_makeup/vSYYZ639.png', 'faces/makeup/vFG112.png'],
+            ['faces/no_makeup/vSYYZ429.png', 'faces/makeup/XMY-014.png'],
+            ['faces/no_makeup/xfsy_0068.png', 'faces/makeup/vFG56.png']]
 
 app = gr.Interface(fn=makeupTransfer,
              inputs=[gr.Image(label="Reference Image",type='numpy'),

requirements.txt

@@ -6,4 +6,4 @@ opencv_python_headless==4.9.0.80
 tensorflow==2.10.0
 super-image
 gradio
-protobuf==3.20.3
+protobuf==3.19.6