src/streamlit_app.py

import streamlit as st
from PIL import Image
import cv2
import numpy as np
import os
from zipfile import ZipFile

# Title and description of the app
st.title("Image Processing App - Image Augmentations")
st.markdown("""
Upload an image to perform augmentations such as translation, scaling, rotation, cropping, and shearing. 
Ten augmented images will be generated, and you can download them.
""")

# Upload an image
uploaded_image = st.file_uploader("Upload an Image", type=["jpg", "jpeg", "png"])

if uploaded_image is not None:
    # Load and display the uploaded image
    img = Image.open(uploaded_image)
    img_array = np.array(img)
    st.image(img, caption="Uploaded Image", use_column_width=True)

    # Prepare the output directory for augmented images
    output_dir = "augmented_images"
    os.makedirs(output_dir, exist_ok=True)

    # Define augmentations
    st.write("**Performing augmentations...**")
    transformations = [
        ("Translated", cv2.warpAffine(img_array, np.float32([[1, 0, 50], [0, 1, 50]]), (img_array.shape[1], img_array.shape[0]))),
        ("Scaled", cv2.resize(img_array, None, fx=1.2, fy=1.2)),
        ("Rotated", cv2.warpAffine(img_array, cv2.getRotationMatrix2D((img_array.shape[1] // 2, img_array.shape[0] // 2), 45, 1), (img_array.shape[1], img_array.shape[0]))),
        ("Cropped", img_array[50:img_array.shape[0] - 50, 50:img_array.shape[1] - 50]),
        ("Sheared", cv2.warpAffine(img_array, np.float32([[1, 0.5, 0], [0.5, 1, 0]]), (img_array.shape[1], img_array.shape[0])))
    ]

    # Apply and save augmentations
    augmented_images = []
    for i, (name, aug_img) in enumerate(transformations * 2):  # Duplicate to generate 10 images
        output_path = os.path.join(output_dir, f"aug_{i + 1}_{name}.jpg")
        cv2.imwrite(output_path, aug_img)
        augmented_images.append(output_path)

    st.write("**Augmentation completed!**")

    # Display augmented images
    st.image([Image.open(img_path) for img_path in augmented_images], caption=[f"Image {i + 1}" for i in range(10)], width=150)

    # Create a ZIP file for download
    zip_filename = "augmented_images.zip"
    with ZipFile(zip_filename, 'w') as zipf:
        for file_path in augmented_images:
            zipf.write(file_path, os.path.basename(file_path))

    # Add a download button for the ZIP file
    with open(zip_filename, "rb") as fp:
        st.download_button(
            label="Download Augmented Images",
            data=fp,
            file_name="augmented_images.zip",
            mime="application/zip"
        )