| import gradio as gr | |
| from tensorflow import keras as k | |
| import numpy as np | |
| loaded_SNN = k.models.load_model('SequentialNN.h5') | |
| def predict(img): | |
| img_array = np.array(img) | |
| img_array = np.array(img_array, dtype = 'int32').reshape(1, 28, 28) | |
| pred = loaded_SNN.predict([img_array]) | |
| return np.argmax(pred) | |
| iface = gr.Interface(predict, inputs = 'sketchpad', | |
| outputs = 'text', | |
| allow_flagging = 'never', | |
| description = 'Draw a Digit Below... (Draw in the centre for best results)') | |
| iface.launch(share = True, width = 500, height = 500) |