Lodor
Initial commit
206ce41
raw
history blame
2.66 kB
import streamlit as st
import os
from datetime import datetime
from PIL import Image
from io import BytesIO
from src.utils import change_background, matte
from src.st_style import apply_prod_style
# apply_prod_style(st) # NOTE: Uncomment this for production!
def image_download_button(pil_image, filename: str, fmt: str, label="Download"):
if fmt not in ["jpg", "png"]:
raise Exception(f"Unknown image format (Available: {fmt} - case sensitive)")
pil_format = "JPEG" if fmt == "jpg" else "PNG"
file_format = "jpg" if fmt == "jpg" else "png"
mime = "image/jpeg" if fmt == "jpg" else "image/png"
buf = BytesIO()
pil_image.save(buf, format=pil_format)
return st.download_button(
label=label,
data=buf.getvalue(),
file_name=f'{filename}.{file_format}',
mime=mime,
)
st.title("AI Photo Background Removal")
st.image(Image.open("assets/demo.jpg"))
st.write(
"""
You want to remove your photo background, but don't have the time and effort to learn photo editing skills?
**This app will change or remove your photo background, in seconds.**
"""
)
uploaded_file = st.file_uploader(
label="Upload your photo here",
accept_multiple_files=False, type=["png", "jpg", "jpeg"],
)
if uploaded_file is not None:
with st.expander("Original photo", expanded=True):
if uploaded_file is not None:
st.image(uploaded_file)
else:
st.warning("You haven't uploaded any photo yet")
in_mode = st.selectbox("Choose background color", ["Transparent (PNG)", "White", "Black", "Green", "Red", "Blue"])
in_submit = st.button("Submit")
if uploaded_file is not None and in_submit:
img_input = Image.open(uploaded_file)
with st.spinner("AI is doing magic to your photo. Please wait..."):
hexmap = {
"Transparent (PNG)": "#000000",
"Black": "#000000",
"White": "#FFFFFF",
"Green": "#22EE22",
"Red": "#EE2222",
"Blue": "#2222EE",
}
alpha = 0.0 if in_mode == "Transparent (PNG)" else 1.0
img_matte = matte(img_input)
img_output = change_background(img_input, img_matte, background_alpha=alpha, background_hex=hexmap[in_mode])
with st.expander("Success!", expanded=True):
st.image(img_output)
uploaded_name = os.path.splitext(uploaded_file.name)[0]
image_download_button(
pil_image=img_output,
filename=uploaded_name,
fmt="png"
)