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import numpy as np
import gradio as gr
import torch
import torchvision
def funksjon(input_img):
#Må inporterer modellen fra API på huggingface.co
#imgPred = model.fit(input_img)
model = torch.load('stage-1.pth')
predictions = model.predict(input_img)
#imgPred = input_img
return predictions
demo = gr.Interface(funksjon, gr.Image(), "image")
#demo.launch(share=True)
demo.launch() |