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(sketch):
    img = np.expand_dims(img, axis=0)
    sketch = np.array(sketch)
    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()