Update app.py

app.py

@@ -17,11 +17,17 @@ face2paint = torch.hub.load(
     size=512, device="cuda",side_by_side=False
 )
 
-def inference(img, ver):
-    if ver == 'version 2 (🔺 robustness,🔻 stylization)':
-        out = face2paint(model2, img)
-    else:
-        out = face2paint(model1, img)
+def inference(img, ver,option,imgweb):
+    if option == 'webcam'
+        if ver == 'version 2 (🔺 robustness,🔻 stylization)':
+            out = face2paint(model2, imgweb)
+        else:
+            out = face2paint(model1, imgweb)
+    else: 
+        if ver == 'version 2 (🔺 robustness,🔻 stylization)':
+            out = face2paint(model2, img)
+        else:
+            out = face2paint(model1, img)
     return out
   
 title = "Animeganv2"
@@ -32,5 +38,5 @@ article = "<p style='text-align: center'><a href='https://github.com/bryandlee/a
 
 examples=[['groot.jpeg','version 2 (🔺 robustness,🔻 stylization)'],['bill.png','version 1 (🔺 stylization, 🔻 robustness)'],['tony.png','version 1 (🔺 stylization, 🔻 robustness)'],['elon.png','version 2 (🔺 robustness,🔻 stylization)'],['IU.png','version 1 (🔺 stylization, 🔻 robustness)'],['billie.png','version 2 (🔺 robustness,🔻 stylization)'],['will.png','version 2 (🔺 robustness,🔻 stylization)'],['beyonce.jpeg','version 1 (🔺 stylization, 🔻 robustness)'],['gongyoo.jpeg','version 1 (🔺 stylization, 🔻 robustness)']]
 
-gr.Interface(inference, [gr.inputs.Image(type="pil"),gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version')
+gr.Interface(inference, [gr.inputs.Image(type="pil",label='Input Image'),gr.inputs.Radio(['version 1 (🔺 stylization, 🔻 robustness)','version 2 (🔺 robustness,🔻 stylization)'], type="value", default='version 2 (🔺 robustness,🔻 stylization)', label='version'),gr.inputs.Radio(['webcam','image upload'], type="value", default='webcam', label='Source'),gr.inputs.Image(type="pil",label='Input Webcam',source='webcam')
 ], gr.outputs.Image(type="pil"),title=title,description=description,article=article,enable_queue=True,examples=examples,allow_flagging=False).launch()