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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) | |
print('prediction',prediction) | |
return prediction | |
demo = gr.Interface(sign,inputs=gr.Image(shape=(200, 200)), outputs=gr.Label()) | |
demo.launch() | |