modified: app.py

app.py

@@ -11,7 +11,7 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Skin Condition Classifier"
-description = "A skin condition classifier trained on duck duck go image search with fastai. Created as a demo for Gradio and HuggingFace Spaces. The classifier was trained on images of chloasma, vitiligo, impetigo, psoriasis, rosacea, hypopigmentation, sebaceous hyperplasia, lentigens, acne, acne rosacea, telongiectasia, acne vulgaris, comedones, keloid scaring
+description = "A skin condition classifier trained on duck duck go image search with fastai. Created as a demo for Gradio and HuggingFace Spaces. The classifier was trained on images of chloasma, vitiligo, impetigo, psoriasis, rosacea, hypopigmentation, sebaceous hyperplasia, lentigens, acne, acne rosacea, telongiectasia, acne vulgaris, comedones, keloid scaring"
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
 examples = ['example.jpg']
 interpretation='default'