| import gradio as gr | |
| from .model import model | |
| import numpy as np | |
| def predict_age_gender(image): | |
| img_pixels = np.expand_dims(image, axis=0) | |
| img_pixels = image.astype('float') | |
| img_pixels = img_pixels.reshape((1, 128, 128, 3)) | |
| img_pixels /= 255 | |
| predict = model.predict(img_pixels) | |
| gender_predict = predict[0] | |
| age_predict = predict[1] | |
| return {'Gender': ['Fmale' if gender_predict > 0.5 else 'Male'], 'Age': age_predict[0][0]} | |
| iface = gr.Interface(predict_age_gender, gr.Image(), gr.Text()) | |
| iface.launch(share=True) | |