app.py

#
import os
import zipfile
import streamlit as st
from PIL import Image, ImageOps
import io
import tempfile

# Load pattern images as in-memory objects
patterns = {
    1: "Barcode Pattern.jpg",  # Vertical stripes
    2: "Diagonal Stripes.jpg",  # Diagonal stripes
    3: "horizontal stripe pattern.jpg",  # Horizontal stripes
    4: "Vertical Concentrated.jpg"  # Vertical Concentrated stripes
}

# Function to apply selected pattern
def apply_pattern(image, pattern_id):
    """Apply selected stripe pattern to the given image."""
    original = image.convert("RGBA")
    pattern = Image.open(patterns[pattern_id]).convert("L")  # Convert pattern to grayscale
    
    # Create an alpha channel where white becomes transparent and black stays opaque
    transparent_pattern = Image.new("RGBA", pattern.size)
    for x in range(pattern.width):
        for y in range(pattern.height):
            pixel = pattern.getpixel((x, y))
            # If the pixel is black (0), set to opaque black; if white (255), set to transparent
            transparent_pattern.putpixel((x, y), (0, 0, 0, 255) if pixel < 128 else (0, 0, 0, 0))
    
    # Resize the transparent pattern to match the original image size
    transparent_pattern = ImageOps.fit(transparent_pattern, original.size, method=0, bleed=0.0, centering=(0.5, 0.5))
    
    # Overlay the transparent pattern on the original image
    combined = Image.alpha_composite(original, transparent_pattern)
    return combined

# Function to process and save the image with applied pattern
def process_image(image, pattern_id, image_name):
    """Apply the selected pattern to the uploaded image and save it to the output directory."""
    combined_image = apply_pattern(image, pattern_id)
    
    # Convert to RGB if saving as JPEG or PNG
    combined_image = combined_image.convert("RGB")
    
    # Save the processed image to a temporary in-memory buffer
    img_byte_arr = io.BytesIO()
    combined_image.save(img_byte_arr, format='JPEG')
    img_byte_arr.seek(0)  # Rewind the buffer to the beginning
    return img_byte_arr

# Function to create a ZIP file from a list of image paths
def create_zip_file(image_buffers, zip_filename):
    """Create a ZIP file from the processed images."""
    with zipfile.ZipFile(zip_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:
        for idx, image_buffer in enumerate(image_buffers):
            # Save the image in memory with a unique name
            zipf.writestr(f"patterned_image_{idx + 1}.jpg", image_buffer.read())
    return zip_filename

# Streamlit UI
st.title("Stripe Pattern Applier")
st.write("Upload one or multiple images and apply a stripe pattern.")

# Radio button for single or multiple image upload
upload_option = st.radio("Choose Upload Option", ["Upload Single Image", "Upload Multiple Images"])

# Upload single or multiple image files based on the selected option
if upload_option == "Upload Single Image":
    uploaded_files = st.file_uploader("Choose an image file", type=["png", "jpg", "jpeg", "bmp", "gif"], key="single_image")
else:
    uploaded_files = st.file_uploader("Choose image files", type=["png", "jpg", "jpeg", "bmp", "gif"], accept_multiple_files=True, key="multiple_images")

# Allow the user to select a pattern
pattern_option = st.radio(
    "Select Pattern Option",
    options=["Apply One Pattern", "Apply All Patterns"]
)

# If the user selects "Apply One Pattern", show pattern selection
if pattern_option == "Apply One Pattern":
    pattern_id = st.radio(
        "Select a stripe pattern",
        options=[1, 2, 3, 4],
        format_func=lambda x: {
            1: "Vertical Stripes",
            2: "Diagonal Stripes",
            3: "Horizontal Stripes",
            4: "Vertical Concentrated Stripes"
        }[x]
    )

# Process and display/download images based on the upload option
if uploaded_files:
    if upload_option == "Upload Single Image":
        # Process the single image
        image = Image.open(uploaded_files)
        st.image(image, caption="Uploaded Image", use_column_width=True)
        
        # Process and provide download link for the current image
        if pattern_option == "Apply One Pattern":
            processed_image_buffer = process_image(image, pattern_id, uploaded_files.name)
            # Provide the user with a download button for the single image
            st.download_button(
                label="Download Processed Image",
                data=processed_image_buffer,
                file_name=f"patterned_{uploaded_files.name}",  # Name the file with the original name
                mime="image/jpeg"  # MIME type for JPEG. Change if using PNG or another format
            )
        else:
            # Apply all patterns to the single image and provide separate downloads
            processed_image_buffers = []
            for pattern_id in patterns:
                processed_image_buffer = process_image(image, pattern_id, uploaded_files.name)
                processed_image_buffers.append(processed_image_buffer)

            # Create a ZIP file of all the processed images
            zip_filename = "processed_images.zip"
            zip_file = create_zip_file(processed_image_buffers, zip_filename)

            # Provide the user with a download button for the ZIP file
            with open(zip_filename, "rb") as f:
                st.download_button(
                    label="Download All Processed Images as ZIP",
                    data=f,
                    file_name="processed_images.zip",
                    mime="application/zip"
                )
        
    else:
        # Create a temporary directory to store processed images
        processed_image_buffers = []
            
        # Process and save each image in the directory
        for uploaded_file in uploaded_files:
            image = Image.open(uploaded_file)
            if pattern_option == "Apply One Pattern":
                processed_image_buffer = process_image(image, pattern_id, uploaded_file.name)
                processed_image_buffers.append(processed_image_buffer)
            else:
                # Apply all patterns to the current image
                for pattern_id in patterns:
                    processed_image_buffer = process_image(image, pattern_id, uploaded_file.name)
                    processed_image_buffers.append(processed_image_buffer)
            
        # Create a ZIP file of all the processed images
        zip_filename = "processed_images.zip"
        zip_file = create_zip_file(processed_image_buffers, zip_filename)
        
        # Provide the user with a download button for the ZIP file
        with open(zip_filename, "rb") as f:
            st.download_button(
                label="Download All Processed Images as ZIP",
                data=f,
                file_name="processed_images.zip",
                mime="application/zip"
            )

else:
    st.write("Please upload one or more images to start.")