app.py

import numpy as np
import gradio as gr
from tensorflow import keras

from huggingface_hub import from_pretrained_keras
model = from_pretrained_keras("ISYS/MyNewModel")

def greet(img):
    img = np.expand_dims(img, axis=0)
    #return np.argmax(model.predict(img)[0])
    numb = np.argmax(model.predict(img)[0])
    a = numb % 3
    return a, numb

def process_sketch(img):
    img = np.expand_dims(img, axis=0)
    output1 = np.argmax(model.predict(img)[0])
    output2 = (np.argmax(model.predict(img)[0]) % 3)
    return output1, output2

#demo = gr.Interface(fn=process_sketch, inputs="sketchpad", outputs=["text", "text"], title="Распознавание рисунка")
    #demo.launch()

iface = gr.Interface(
    fn=greet,
    inputs="sketchpad",
    outputs=[gr.outputs.Textbox(label="Остаток от деления предсказанного значения"), gr.outputs.Textbox(label="Предсказанное значение")],
    layout="vertical",
    title="Распознавание рисунка"
)

iface.launch()