app.py

import gradio as gr
import numpy as np
from io import BytesIO
from PIL import Image, ImageOps
import zipfile
import os
import atexit
import shutil
import cv2
import imageio
import torchvision.transforms.functional as TF

# Create a persistent directory to store generated files
GENERATED_FILES_DIR = "generated_files"
if not os.path.exists(GENERATED_FILES_DIR):
    os.makedirs(GENERATED_FILES_DIR)

def cleanup_generated_files():
    if os.path.exists(GENERATED_FILES_DIR):
        shutil.rmtree(GENERATED_FILES_DIR)

# Register the cleanup function to run when the script exits
atexit.register(cleanup_generated_files)

def split_image_grid(image, grid_cols, grid_rows):
    if isinstance(image, np.ndarray):
        image = Image.fromarray(image)
    
    width, height = image.width, image.height
    cell_width = width // grid_cols
    cell_height = height // grid_rows
    frames = []
    for i in range(grid_rows):
        for j in range(grid_cols):
            left = j * cell_width
            upper = i * cell_height
            right = left + cell_width
            lower = upper + cell_height
            frame = image.crop((left, upper, right, lower))
            frames.append(np.array(frame))
    return frames

def interpolate_frames(frames, interpolation_factor=2):
    interpolated_frames = []
    for i in range(len(frames) - 1):
        frame1 = frames[i]
        frame2 = frames[i + 1]
        interpolated_frames.append(frame1)
        for j in range(1, interpolation_factor):
            t = j / interpolation_factor
            frame_t = cv2.addWeighted(frame1, 1 - t, frame2, t, 0)
            interpolated_frames.append(frame_t)
    interpolated_frames.append(frames[-1])
    return interpolated_frames
    
def enhance_gif(images):
    enhanced_images = []
    for img in images:
        img = ImageOps.autocontrast(Image.fromarray(img))
        img = img.convert("RGB")  # Ensure the image is in RGB mode
        enhanced_images.append(np.array(img))
    return enhanced_images

def create_gif_imageio(images, fps=10, ping_pong_animation=False, loop=0):
    duration = 1000 / fps  # Convert FPS to milliseconds
    if ping_pong_animation:
        images = images + images[-2:0:-1]  # Create a ping-pong sequence
    gif_path = os.path.join(GENERATED_FILES_DIR, "output_enhanced.gif")
    images_pil = [Image.fromarray(img) for img in images]
    imageio.mimsave(gif_path, images_pil, duration=duration, loop=loop)
    return gif_path

def process_image(image, grid_cols_input, grid_rows_input):
    frames = split_image_grid(image, grid_cols_input, grid_rows_input)
    zip_file = zip_images(frames)
    return zip_file

def process_image_to_gif(image, grid_cols_input, grid_rows_input, fps_input, ping_pong_toggle, interpolation_factor):
    frames = split_image_grid(image, grid_cols_input, grid_rows_input)
    interpolated_frames = interpolate_frames(frames, interpolation_factor)
    enhanced_frames = enhance_gif(interpolated_frames)
    gif_file = create_gif_imageio(enhanced_frames, fps=fps_input, ping_pong_animation=ping_pong_toggle, loop=0)
    
    # Preview the first frame of the GIF
    # preview_image = Image.fromarray(enhanced_frames[0])
    # preview_image.save(os.path.join(GENERATED_FILES_DIR, "output_enhanced.gif"))
    preview_path = os.path.join(GENERATED_FILES_DIR, "output_enhanced.gif")
    
    return preview_path, gif_file
    
def zip_images(images):
    zip_path = os.path.join(GENERATED_FILES_DIR, "output.zip")
    with zipfile.ZipFile(zip_path, 'w') as zipf:
        for idx, img in enumerate(images):
            img_buffer = BytesIO()
            img = Image.fromarray(img)
            img.save(img_buffer, format='PNG')
            img_buffer.seek(0)
            zipf.writestr(f'image_{idx}.png', img_buffer.getvalue())
    return zip_path

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
                
            image_input = gr.Image(label="Input Grid Image", type="pil")
            
        with gr.Column():
            with gr.Row():
                grid_cols_input = gr.Slider(1, 10, value=2, step=1, label="Grid Columns")
                grid_rows_input = gr.Slider(1, 10, value=2, step=1, label="Grid Rows")
            with gr.Row():
                fps_input = gr.Slider(1, 30, value=10, step=1, label="FPS (Frames per Second)")
                ping_pong_toggle = gr.Checkbox(label="Ping-Pong Effect")
                interpolation_factor_input = gr.Slider(1, 10, value=2, step=1, label="Interpolation Factor")
            with gr.Row():
                gif_button = gr.Button("Create GIF")
                zip_button = gr.Button("Create Zip File")
            with gr.Row():
                preview_image = gr.Image(label="Preview GIF")
            with gr.Row():
                gif_output = gr.File(label="Download GIF")
                zip_output = gr.File(label="Download Zip File")
    zip_button.click(process_image, inputs=[image_input, grid_cols_input, grid_rows_input], outputs=zip_output)
    gif_button.click(
        process_image_to_gif, 
        inputs=[image_input, grid_cols_input, grid_rows_input, fps_input, ping_pong_toggle, interpolation_factor_input], 
        outputs=[preview_image, gif_output]
    )

demo.launch(show_error=True)