| import numpy as np | |
| import gradio as gr | |
| from tensorflow import keras | |
| from huggingface_hub import from_pretrained_keras | |
| model = from_pretrained_keras("my_model") | |
| def greet(img): | |
| img = np.expand_dims(img, axis = 0) | |
| demo = gr.Interface(fn = greet , inputs = 'sketchpad', outputs = 'text') | |
| demo.launch() |