Create app.py
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app.py
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import gradio as gr
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from fastai.vision.all import *
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import skimage
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learn = load_learner('characters.pkl')
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labels = learn.dls.vocab
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def predict(img):
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pred, pred_idx, probs = learn.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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title = "Video Game Character Classifier"
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examples = ['ellie.jpg', 'arthur.jpg', 'kratos.jpg', 'ellielou.jpg']
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# Updated Gradio Interface with new syntax
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with gr.Blocks() as demo:
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gr.Markdown("# " + title)
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image_input = gr.Image(shape=(128, 128))
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label_output = gr.Label()
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# Create submit button
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submit_btn = gr.Button("Classify")
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submit_btn.click(fn=predict, inputs=image_input, outputs=label_output)
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# Adding examples
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gr.Examples(examples, inputs=image_input, outputs=label_output, fn=predict)
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demo.launch()
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