Update app.py

app.py

@@ -11,9 +11,9 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Skin Diseases Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+description = "A Skin Diseases classifier trained on the HAM10000 dataset 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 = ['siamese.jpg']
+examples = ['mel.jpg','akiec.jpg']
 interpretation='default'
 enable_queue=True
 gr.Interface(fn=predict,inputs="image",outputs="label").launch()