stylematte / app.py
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Update app.py
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import gradio as gr
from test import inference_img
from models import *
device='cpu'
model = StyleMatte()
model = model.to(device)
checkpoint = f"stylematte.pth"
state_dict = torch.load(checkpoint, map_location=f'{device}')
model.load_state_dict(state_dict)
model.eval()
def predict(inp):
print("***********Inference****************")
res = inference_img(model, inp)
print(res.shape, res.dtype)
main_subject = inp.copy()
main_subject = main_subject * (res > 0.1)[:,:,np.newaxis]
return main_subject
print("MODEL LOADED")
print("************************************")
iface = gr.Interface(fn=predict,
inputs=gr.Image(type="numpy"),
outputs=gr.Image(type="numpy"),
examples=["./logo.jpeg"])
print("****************Interface created******************")
iface.launch()