Update app.py

Updated description

app.py

@@ -17,8 +17,17 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset using fastai. Created as a demo from the course by Jeremy Howard."
-article="<p style='text-align: center'><a href='https://course.fast.ai/' target='_blank'>Go to course</a></p>"
+description = """
+🐶🐱
+🇬🇧 = A pet breed classifier (Dogs and Cats) trained on the Oxford Pets dataset using fastai. Created as a demo from the course by Jeremy Howard.
+For best results use photos not drawings or anything else.
+🇪🇸 = Un clasificador de razas de mascotas (perros y gatos) entrenado en los datos de Oxford Pets.
+Usa fotos de tus mascotas para obtener la raza.
+
+👨‍👨‍👧‍👦 MZDJ ❤️
+"""
+
+article="<p style='text-align: center'><a href='https://course.fast.ai/' target='_blank'>Go to course!</a></p>"
 examples = ['siamese.jpg','pug.jpg']
 
 gr.Interface(fn=predict,