Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+
+learner = load_learner('anime_classifier.pkl')
+categories = anime_characters = ['Jotaro Kujo', 'Princess Mononoke', 'Enrico Pucci', 'Dio Brando', 'Totoro',  'Madara Uchiha', 'Hatsune Miku']
+
+def classify_anime(img):
+  prediction, index, probability = learner.predict(img)
+  return dict(zip(categories, map(float, probability)))
+
+intf = gr.Interface(fn=classify_anime,
+             inputs=gr.Image(shape=(192, 192)),
+             outputs=gr.Label(),
+             title="Which Anime Character?!",
+             description="This model very accurately can tell you if a image you input is one of the characters it knows well: Jotaro Kujo, Princess Mononoke, Enrico Pucci, Dio Brando, Totoro,  Madara Uchiha, and Hatsune Miku. But what if you put in a photo of you? What about your cat? Did you always think he looked like Totoro? Find out if it is true! (This project was a part of my homeschool curriculum for my children, so the character choices are biased. My two were Totoro and Princess Mononoke.)",
+             examples=['dio.jpg', 'jotaro.jpg', 'madara.jpg', 'miku.jpg', 'mononoke.jpg', 'pucci.jpg', 'totoro.jpg'])
+intf.launch(inline=False)
+