import gradio as gr
from PIL import Image, ImageDraw, ImageFont
import numpy as np
from datetime import datetime

def process_image(image):
    """
    Process the input image by reducing its quality, adding color noise,
    and appending the current date in the bottom-left corner.

    Parameters:
    image (PIL.Image.Image): The input image to be processed.

    Returns:
    PIL.Image.Image: The processed image.
    """
    # Convert image to RGB and reduce its quality
    image = image.convert("RGB")
    image = image.resize(
        (int(image.width * 0.8), int(image.height * 0.8)),
        Image.LANCZOS  # Use LANCZOS for high-quality downsampling
    )

    # Add color noise
    image_array = np.array(image)
    noise = np.random.randint(-10, 23, image_array.shape)  # Generate random noise
    image_array = np.clip(image_array + noise, 0, 255)  # Apply noise and clip values
    image = Image.fromarray(image_array.astype('uint8'))

    # Add current date to the bottom-left corner
    draw = ImageDraw.Draw(image)
    font = ImageFont.load_default()
    current_date = datetime.now().strftime("%d/%m/%Y")  # Get current date dynamically
    draw.text((15, image.height - 20), current_date, fill=(255, 255, 255), font=font)

    return image

# Create Gradio interface
interface = gr.Interface(
    fn=process_image,
    inputs=gr.Image(type="pil"),  # Use gr.Image for input
    outputs=gr.Image(type="pil"),  # Use gr.Image for output
    title="Фотография как с мыльницы",
    description="Загрузите изображение, и оно будет обработано для имитации фотографии с мыльницы."
)

# Launch the Gradio app
if __name__ == "__main__":
    interface.launch(share=True)  # Set share=True to create a public link