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)