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app.py
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app.py
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import io
import onnxruntime as ort
import streamlit as st
from PIL import Image
from app.model.rembg import RemBg
def main(model: RemBg, session: ort.InferenceSession):
st.title("Background Remover")
st.info("https://github.com/tan-z-tan/streamlit-on-cloudrun")
img = None
uploaded_file = st.file_uploader(
"Choose a image", type=["jpg", "jpeg", "png"])
# images area
col1, col2 = st.columns(2)
col1.header("Original Image")
image_area = col1.empty()
col2.header("Processed Image")
res_image_area = col2.empty()
if uploaded_file is not None:
bytes_data = uploaded_file.getvalue()
img_bin = io.BytesIO(bytes_data)
img = Image.open(img_bin)
if img is None:
img = Image.open("samples/turtle.jpg")
image_area.image(img)
if img is not None:
res_img = model.perform(img, session=session)
res_image_area.image(res_img)
@st.experimental_singleton
def get_ort_session():
session = ort.InferenceSession(
"model_files/u2netp.onnx",
providers=ort.get_available_providers()
# "model_files/u2net.onnx", providers=ort.get_available_providers()
)
return session
if __name__ == "__main__":
# call set_page_config before any calls of streamlit api
st.set_page_config(
layout="wide",
)
model = RemBg()
session = get_ort_session()
main(model, session)