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Browse files- app.py +63 -0
- requirements.txt +4 -0
app.py
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import gradio as gr
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from PIL import Image, ImageEnhance, ImageFilter
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import numpy as np
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def edit_image(image, crop, resize_width, resize_height, rotate, flip, brightness, contrast, blur):
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img = Image.fromarray(image)
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# Cropping (crop box should be in left, top, right, bottom format)
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if crop != (0, 0, img.width, img.height):
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crop_values = [int(x) for x in crop.split(",")]
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img = img.crop(crop_values)
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# Resizing
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if resize_width and resize_height:
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img = img.resize((resize_width, resize_height))
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# Rotation
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if rotate:
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img = img.rotate(rotate)
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# Flipping
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if flip == "Horizontal":
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img = img.transpose(Image.FLIP_LEFT_RIGHT)
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elif flip == "Vertical":
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img = img.transpose(Image.FLIP_TOP_BOTTOM)
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# Brightness Adjustment
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if brightness != 1:
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enhancer = ImageEnhance.Brightness(img)
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img = enhancer.enhance(brightness)
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# Contrast Adjustment
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if contrast != 1:
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enhancer = ImageEnhance.Contrast(img)
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img = enhancer.enhance(contrast)
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# Blurring
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if blur > 0:
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img = img.filter(ImageFilter.GaussianBlur(blur))
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return np.array(img)
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# Define the interface
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iface = gr.Interface(
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fn=edit_image,
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inputs=[
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gr.Image(type="numpy"), # Input image without the tool argument
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gr.Textbox(label="Crop (left, top, right, bottom)", value="0, 0, 500, 500"),
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gr.Slider(minimum=10, maximum=1000, label="Resize Width", value=500),
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gr.Slider(minimum=10, maximum=1000, label="Resize Height", value=500),
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gr.Slider(minimum=-360, maximum=360, label="Rotate (degrees)", value=0),
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gr.Radio(choices=["None", "Horizontal", "Vertical"], label="Flip", value="None"),
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gr.Slider(minimum=0.1, maximum=2.0, step=0.1, label="Brightness", value=1),
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gr.Slider(minimum=0.1, maximum=2.0, step=0.1, label="Contrast", value=1),
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gr.Slider(minimum=0, maximum=10, step=1, label="Blur", value=0)
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],
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outputs="image",
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title="Image Editor with Cropping, Resizing, Rotation, Brightness, and More",
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description="Upload an image and apply various editing features such as cropping, resizing, rotation, flipping, brightness/contrast adjustments, and blurring."
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)
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iface.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,4 @@
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gradio
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opencv-python
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svgwrite
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numpy
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