app.py

import gradio as gr
from PIL import Image
import os
import tempfile
import pyheif
import ntpath
import shutil

def open_heic_image(image_path):
    heif_file = pyheif.read(image_path)
    img = Image.frombytes(
        heif_file.mode, 
        heif_file.size, 
        heif_file.data,
        "raw",
        heif_file.mode,
        heif_file.stride,
    )
    return img

def optimize_single_image(image_path, png_optimize, jpeg_quality, jpeg_resolution, webp_quality):
    original_filename = ntpath.basename(image_path)
    base_name, ext = os.path.splitext(original_filename)
    
    if image_path.lower().endswith(".heic"):
        img = open_heic_image(image_path)
    else:
        img = Image.open(image_path)

    if img.mode not in ['RGB', 'L']:
        img = img.convert('RGB')
    
    original_size = os.path.getsize(image_path) / 1024  # tamaño en KB
    output_dir = tempfile.mkdtemp()  # Crear un directorio temporal para las imágenes optimizadas
    
    optimized_images = []

    if png_optimize:
        lossless_output_path = os.path.join(output_dir, f"{base_name}-lossless.png")
        img.save(lossless_output_path, format="PNG", optimize=True)
        optimized_images.append(lossless_output_path)

    lossy_output_path = os.path.join(output_dir, f"{base_name}-lossy.jpg")
    img.save(lossy_output_path, format="JPEG", quality=jpeg_quality, optimize=True)
    optimized_images.append(lossy_output_path)

    reduced_output_path = os.path.join(output_dir, f"{base_name}-reduced_resolution.jpg")
    new_resolution = (img.width * jpeg_resolution // 100, img.height * jpeg_resolution // 100)
    reduced_img = img.resize(new_resolution, Image.LANCZOS)
    reduced_img.save(reduced_output_path, format="JPEG", quality=jpeg_quality, optimize=True)
    optimized_images.append(reduced_output_path)

    webp_lossy_output_path = os.path.join(output_dir, f"{base_name}-lossy.webp")
    img.save(webp_lossy_output_path, format="WEBP", quality=webp_quality, optimize=True)
    optimized_images.append(webp_lossy_output_path)

    return optimized_images

def optimize_zip_images(zip_file, png_optimize, jpeg_quality, jpeg_resolution, webp_quality):
    with tempfile.TemporaryDirectory() as tmp_dir:
        shutil.unpack_archive(zip_file.name, tmp_dir)
        output_dir = tempfile.mkdtemp()

        optimized_files = []

        for root, _, files in os.walk(tmp_dir):
            for file in files:
                file_path = os.path.join(root, file)
                optimized_images = optimize_single_image(file_path, png_optimize, jpeg_quality, jpeg_resolution, webp_quality)
                for optimized_image in optimized_images:
                    output_path = os.path.join(output_dir, ntpath.basename(optimized_image))
                    shutil.move(optimized_image, output_path)
                    optimized_files.append(output_path)

        zip_output_path = os.path.join(output_dir, "optimized_images.zip")
        shutil.make_archive(zip_output_path.replace(".zip", ""), 'zip', output_dir)

        return zip_output_path, optimized_files

with gr.Blocks() as demo:
    gr.Markdown("""
    # Optimización de Imágenes para la Web
    Esta aplicación te permite optimizar imágenes individuales o múltiples imágenes a través de un archivo ZIP.
    
    - **Pestaña "Optimización Tradicional"**: Sube una imagen individual para optimización y descarga.
    - **Pestaña "Optimización por Lote"**: Elige los parámetros de optimización, sube un archivo ZIP con múltiples imágenes y descarga todas las imágenes optimizadas.
    """)

    with gr.Tab("Optimización Tradicional"):
        image_input = gr.File(label="Sube tu imagen", file_types=['image', '.heic'])
        optimize_button = gr.Button("Optimizar")

        with gr.Row():
            with gr.Column():
                optimized_output1 = gr.Image(label="Optimización sin pérdida")
                png_optimize = gr.Checkbox(label="Optimizar PNG", value=True)
                download_button1 = gr.File(label="Descargar", visible=True)
                optimized_size1 = gr.Text(value="", interactive=False, show_label=False)

            with gr.Column():
                optimized_output2 = gr.Image(label="Optimización con pérdida (JPEG)")
                jpeg_quality = gr.Slider(label="Calidad JPEG", minimum=10, maximum=100, value=50, step=1)
                download_button2 = gr.File(label="Descargar", visible=True)
                optimized_size2 = gr.Text(value="", interactive=False, show_label=False)
                
            with gr.Column():
                optimized_output3 = gr.Image(label="Reducción de resolución (JPEG)")
                jpeg_resolution = gr.Slider(label="Resolución JPEG (%)", minimum=10, maximum=100, value=50, step=1)
                download_button3 = gr.File(label="Descargar", visible=True)
                optimized_size3 = gr.Text(value="", interactive=False, show_label=False)

            with gr.Column():
                optimized_output4 = gr.Image(label="Optimización WebP con pérdida")
                webp_quality = gr.Slider(label="Calidad WebP", minimum=10, maximum=100, value=50, step=1)
                download_button4 = gr.File(label="Descargar", visible=True)
                optimized_size4 = gr.Text(value="", interactive=False, show_label=False)

        optimize_button.click(
            fn=optimize_single_image,
            inputs=[image_input, png_optimize, jpeg_quality, jpeg_resolution, webp_quality],
            outputs=[
                optimized_output1, optimized_size1, download_button1,
                optimized_output2, optimized_size2, download_button2,
                optimized_output3, optimized_size3, download_button3,
                optimized_output4, optimized_size4, download_button4
            ]
        )

    with gr.Tab("Optimización por Lote"):
        with gr.Row():
            png_optimize_batch = gr.Checkbox(label="Optimizar PNG", value=True)
            jpeg_quality_batch = gr.Slider(label="Calidad JPEG", minimum=10, maximum=100, value=50, step=1)
            jpeg_resolution_batch = gr.Slider(label="Resolución JPEG (%)", minimum=10, maximum=100, value=50, step=1)
            webp_quality_batch = gr.Slider(label="Calidad WebP", minimum=10, maximum=100, value=50, step=1)
        
        zip_input = gr.File(label="Sube tu archivo ZIP con imágenes", file_types=['.zip'])
        optimize_batch_button = gr.Button("Optimizar Imágenes en ZIP")
        
        batch_output_zip = gr.File(label="Descargar ZIP de imágenes optimizadas", visible=True)
        batch_gallery = gr.Gallery(label="Imágenes optimizadas (individuales)")

        def update_gallery(zip_file, png_optimize, jpeg_quality, jpeg_resolution, webp_quality):
            zip_output_path, optimized_files = optimize_zip_images(zip_file, png_optimize, jpeg_quality, jpeg_resolution, webp_quality)
            return zip_output_path, optimized_files

        optimize_batch_button.click(
            fn=update_gallery,
            inputs=[zip_input, png_optimize_batch, jpeg_quality_batch, jpeg_resolution_batch, webp_quality_batch],
            outputs=[batch_output_zip, batch_gallery]
        )

demo.launch()