try to fix error

app.py

@@ -112,21 +112,15 @@ def style_sofa(input_img: np.ndarray, style_img: np.ndarray):
     print('Finishing job', id)
     return new_sofa
 
-image = gr.inputs.Image()
-style = gr.inputs.Image()
-
-# Examples
-example1 = ['sofa_example1.jpg','style_example1.jpg']
-example2 = ['sofa_example1.jpg','style_example2.jpg']
-example3 = ['sofa_example1.jpg','style_example3.jpg']
-example4 = ['sofa_example1.jpg','style_example4.jpg']
-example5 = ['sofa_example1.jpg','style_example5.jpg']
-
 demo = gr.Interface(
     style_sofa,
-    inputs = [image,style],
+    inputs = [gr.inputs.Image(),gr.inputs.Image()],
     outputs = 'image',
-    examples= [example1, example2, example3 ,example4 ,example5],
+    examples= [['sofa_example1.jpg','style_example1.jpg'],
+            ['sofa_example1.jpg','style_example2.jpg'],
+            ['sofa_example1.jpg','style_example3.jpg'],
+            ['sofa_example1.jpg','style_example4.jpg'],
+            ['sofa_example1.jpg','style_example5.jpg']],
     title="🛋 Style your sofa 🛋 ",
     description="Customize your sofa to your wildest dreams 💭!\
                 \nProvide a picture of your sofa and a desired pattern\

requirements.txt

@@ -9,7 +9,7 @@ gradio
 
 segmentation_models
 opencv-python-headless
-tensorflow-cpu
+tensorflow
 tensorflow_hub
 
 paddlepaddle