Update app.py

Fix: gradio new naming conventions

app.py

@@ -8,15 +8,13 @@ def inference(img, ver, white_overlay):
         white_overlay = ""
 
     if ver == 'pose':
-        os.system("python -m openpifpaf.predict "+img+" --checkpoint=shufflenetv2k30 --line-width=4 " + white_overlay + " -o out.jpg")
+        os.system(f"python -m openpifpaf.predict {img} --checkpoint=shufflenetv2k30 --line-width=4 {white_overlay} -o out.jpg")
     elif ver == 'whole-body':
-        os.system("python -m openpifpaf.predict "+img+" --checkpoint=shufflenetv2k30-wholebody --instance-threshold 0.05 " + white_overlay + " --seed-threshold 0.05 \
-                                                             --line-width 3 -o out.jpg")
+        os.system(f"python -m openpifpaf.predict {img} --checkpoint=shufflenetv2k30-wholebody --instance-threshold 0.05 {white_overlay} --seed-threshold 0.05 --line-width 3 -o out.jpg")
     elif ver == 'vehicles':
-        os.system("python -m openpifpaf.predict "+img+" --checkpoint=shufflenetv2k16-apollo-24 --line-width=5  " + white_overlay + " -o out.jpg")
+        os.system(f"python -m openpifpaf.predict {img} --checkpoint=shufflenetv2k16-apollo-24 --line-width=5 {white_overlay} -o out.jpg")
     elif ver == 'animal':
-        os.system("python -m openpifpaf.predict "+img+" --checkpoint=shufflenetv2k30-animalpose --line-width=5 --font-size=6 " + white_overlay + " \
-                   --long-edge=500  -o out.jpg")
+        os.system(f"python -m openpifpaf.predict {img} --checkpoint=shufflenetv2k30-animalpose --line-width=5 --font-size=6 {white_overlay} --long-edge=500 -o out.jpg")
     else:
         raise ValueError('invalid version')
 
@@ -47,7 +45,7 @@ gr.Interface(
     fn=inference,
     inputs=[
         gr.Image(type="filepath", label="Input"),
-        gr.Radio(['whole-body', 'pose', 'vehicles', 'animal'], type="value", default='whole-body', label='version'),
+        gr.Radio(['whole-body', 'pose', 'vehicles', 'animal'], value='whole-body', label='version'),
         gr.Checkbox(default=False, label="White overlay")
     ],
     outputs=gr.Image(type="filepath", label="Output"),