streamlit_app.py

import streamlit as st
import requests
import os
import sys
from PIL import Image
import io
import time
from pathlib import Path

# Fix for 'collections' has no attribute 'Sized' issue
import collections
import collections.abc
for typ in ['Sized', 'Iterable', 'Mapping', 'MutableMapping', 'Sequence', 'MutableSequence']:
    if not hasattr(collections, typ):
        setattr(collections, typ, getattr(collections.abc, typ))

# Add DeOldify directory to path in case direct importing is needed
sys.path.append('./DeOldify')
# Instead of adding models directory to path, set it as the working directory for model loading
os.makedirs('models', exist_ok=True)
# Create symbolic links to the model files
if not os.path.exists('models/ColorizeArtistic_gen.pth'):
    os.symlink(os.path.abspath('./DeOldify/models/ColorizeArtistic_gen.pth'),
               'models/ColorizeArtistic_gen.pth')
if not os.path.exists('models/ColorizeStable_gen.pth'):
    os.symlink(os.path.abspath(
        './DeOldify/models/ColorizeStable_gen.pth'), 'models/ColorizeStable_gen.pth')
if not os.path.exists('models/ColorizeVideo_gen.pth'):
    os.symlink(os.path.abspath(
        './DeOldify/models/ColorizeVideo_gen.pth'), 'models/ColorizeVideo_gen.pth')

# URLs for the API
# Change this if your API is running on a different address
API_URL = "http://localhost:8000"

st.set_page_config(
    page_title="Image Colorization App",
    page_icon="🎨",
    layout="wide",
)

st.title("Black & White Image Colorization")
st.markdown("""
Turn your black and white photos into colorized versions using DeOldify technology.
Upload an image to get started!
""")

# File uploader
uploaded_file = st.file_uploader(
    "Choose a black and white image...", type=["jpg", "jpeg", "png"])

# Sidebar controls
with st.sidebar:
    st.header("Colorization Options")

    # Model selection
    model_type = st.radio(
        "Select Colorization Model",
        options=["Artistic", "Stable"],
        index=0,
        help="Artistic provides more vibrant colors, Stable provides more realistic colors"
    )

    # Render factor slider
    render_factor = st.slider(
        "Render Factor",
        min_value=5,
        max_value=50,
        value=35,
        step=1,
        help="Higher values give better quality but take longer. Recommend 35 for artistic, 20 for stable."
    )

    # Multiple render options
    st.subheader("Generate Multiple Renders")
    use_multiple_renders = st.checkbox(
        "Create multiple renders with different factors", value=False)

    if use_multiple_renders:
        min_factor = st.slider("Minimum Render Factor", 5, 40, 10, 5)
        max_factor = st.slider("Maximum Render Factor",
                               min_factor + 5, 50, 40, 5)
        step_size = st.slider("Step Size", 1, 10, 5, 1)

# Process when upload is ready
if uploaded_file is not None:
    # Display the original image
    col1, col2 = st.columns(2)

    with col1:
        st.subheader("Original Image")
        image = Image.open(uploaded_file)
        st.image(image, use_column_width=True)

    # Process image button
    process_button = st.button("Colorize Image")

    if process_button:
        artistic_param = True if model_type == "Artistic" else False

        with st.spinner("Colorizing your image... Please wait."):
            try:
                if use_multiple_renders:
                    # Process with multiple render factors
                    files = {
                        "file": ("image.jpg", uploaded_file.getvalue(), "image/jpeg")}
                    params = {
                        "min_render_factor": min_factor,
                        "max_render_factor": max_factor,
                        "step": step_size,
                        "artistic": artistic_param
                    }

                    response = requests.post(
                        f"{API_URL}/colorize_multiple", files=files, params=params)

                    if response.status_code == 200:
                        result = response.json()
                        st.success("Multiple renders completed!")

                        # Display all the images with a slider to choose
                        st.subheader("Select Render Factor")
                        selected_index = st.select_slider(
                            "Choose the render factor that looks best:",
                            options=result["render_factors"]
                        )

                        # Find the index of the selected render factor
                        index = result["render_factors"].index(selected_index)
                        selected_image_path = result["output_paths"][index]

                        # Display the selected image
                        with col2:
                            st.subheader(
                                f"Colorized (Render Factor: {selected_index})")
                            colorized_img = requests.get(
                                f"{API_URL}/image/{selected_image_path}").content
                            st.image(Image.open(io.BytesIO(
                                colorized_img)), use_column_width=True)

                        # Option to download the selected image
                        st.download_button(
                            label="Download Colorized Image",
                            data=colorized_img,
                            file_name=f"colorized_rf{selected_index}.jpg",
                            mime="image/jpeg"
                        )
                    else:
                        st.error(f"Error: {response.text}")

                else:
                    # Process with single render factor
                    files = {
                        "file": ("image.jpg", uploaded_file.getvalue(), "image/jpeg")}
                    params = {
                        "render_factor": render_factor,
                        "artistic": artistic_param
                    }

                    response = requests.post(
                        f"{API_URL}/colorize", files=files, params=params)

                    if response.status_code == 200:
                        result = response.json()
                        with col2:
                            st.subheader(
                                f"Colorized (Render Factor: {result['render_factor']})")
                            colorized_img = requests.get(
                                f"{API_URL}/image/{result['output_path']}").content
                            st.image(Image.open(io.BytesIO(
                                colorized_img)), use_column_width=True)

                        # Option to download the colorized image
                        st.download_button(
                            label="Download Colorized Image",
                            data=colorized_img,
                            file_name="colorized.jpg",
                            mime="image/jpeg"
                        )
                    else:
                        st.error(f"Error: {response.text}")

            except Exception as e:
                st.error(f"An error occurred: {str(e)}")

# Footer
st.markdown("---")
st.markdown("Powered by DeOldify - Image Colorization Project")