app.py

import numpy as np
import gradio as gr
from model import api
from PIL import Image
sign_api = api()

def sign(input_img):
    input_img = Image.fromarray(input_img)
    prediction = sign_api.predict(input_img)
    return prediction

demo = gr.Interface(sign,inputs=gr.Image(shape=(200, 200)), outputs=gr.Label())
demo.launch()