| import gradio as gr | |
| import numpy as np | |
| from huggingface_hub import from_pretrained_keras | |
| model = from_pretrained_keras("Alim2003/digits") | |
| def greet(img): | |
| img = np.expand_dims(img, axis = 0) | |
| return np.argmax(model.predict(img)[0]) | |
| demo = gr.Interface(fn=greet, inputs="sketchpad", outputs="text") | |
| demo.launch() |