Update app.py

app.py

@@ -10,12 +10,12 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
  
-title = "Liveness Classification"
+title = "Liveness Classification using Webcam"
 description = "Liveness classification using Adobe Antialiased model with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 article= " " #" <p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
 examples = ['modelo_cropped1.jpg']
 interpretation='default'
 enable_queue=True
 
-gr.Interface(fn=predict,inputs=gr.Image(source="webcam",shape=(224, 224)),outputs=gr.Label(num_top_classes=2),title=title,description=description,article=article,enable_queue=enable_queue).launch(share=True)
+gr.Interface(fn=predict,inputs=gr.Image(source="webcam",shape=(224, 224)),outputs=gr.Label(num_top_classes=2),title=title,description=description,article=article,enable_queue=enable_queue).launch()