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import pickle
import cv2
from fastai.vision.all import *
import gradio as gr
im_size = (1152, 768)
with open("learn.pkl", 'rb') as f:
model = pickle.load(f)
def predict_mask(file):
img = cv2.imdecode(np.frombuffer(file.read(), np.uint8), cv2.IMREAD_GRAYSCALE)
img = cv2.resize(img, im_size)
pred = model.predict(img)
return pred[0]
iface = gr.Interface(fn=predict_mask,
inputs=gr.inputs.Image(label="Upload Image"),
outputs="image",
capture_session=True,
interpretation="default")
if __name__ == "__main__":
iface.launch()
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