import gradio as gr from PIL import Image, ImageEnhance, ImageFilter import numpy as np def edit_image(image, crop, resize_width, resize_height, rotate, flip, brightness, contrast, blur): img = Image.fromarray(image) # Cropping (crop box should be in left, top, right, bottom format) if crop != (0, 0, img.width, img.height): crop_values = [int(x) for x in crop.split(",")] img = img.crop(crop_values) # Resizing if resize_width and resize_height: img = img.resize((resize_width, resize_height)) # Rotation if rotate: img = img.rotate(rotate) # Flipping if flip == "Horizontal": img = img.transpose(Image.FLIP_LEFT_RIGHT) elif flip == "Vertical": img = img.transpose(Image.FLIP_TOP_BOTTOM) # Brightness Adjustment if brightness != 1: enhancer = ImageEnhance.Brightness(img) img = enhancer.enhance(brightness) # Contrast Adjustment if contrast != 1: enhancer = ImageEnhance.Contrast(img) img = enhancer.enhance(contrast) # Blurring if blur > 0: img = img.filter(ImageFilter.GaussianBlur(blur)) return np.array(img) # Define the interface iface = gr.Interface( fn=edit_image, inputs=[ gr.Image(type="numpy"), # Input image without the tool argument gr.Textbox(label="Crop (left, top, right, bottom)", value="0, 0, 500, 500"), gr.Slider(minimum=10, maximum=1000, label="Resize Width", value=500), gr.Slider(minimum=10, maximum=1000, label="Resize Height", value=500), gr.Slider(minimum=-360, maximum=360, label="Rotate (degrees)", value=0), gr.Radio(choices=["None", "Horizontal", "Vertical"], label="Flip", value="None"), gr.Slider(minimum=0.1, maximum=2.0, step=0.1, label="Brightness", value=1), gr.Slider(minimum=0.1, maximum=2.0, step=0.1, label="Contrast", value=1), gr.Slider(minimum=0, maximum=10, step=1, label="Blur", value=0) ], outputs="image", title="Image Editor with Cropping, Resizing, Rotation, Brightness, and More", description="Upload an image and apply various editing features such as cropping, resizing, rotation, flipping, brightness/contrast adjustments, and blurring." ) iface.launch()