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