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| from fastapi import FastAPI, File, UploadFile | |
| from fastapi.responses import HTMLResponse | |
| from PIL import Image | |
| import numpy as np | |
| from io import BytesIO | |
| app = FastAPI() | |
| # Function for cropping and filling the image | |
| def fill_square_cropper(img): | |
| imgsz = [img.height, img.width] | |
| avg_color_per_row = np.average(img, axis=0) | |
| avg_color = np.average(avg_color_per_row, axis=0) | |
| if img.height > img.width: | |
| newimg = Image.new( | |
| 'RGB', | |
| (img.height, img.height), | |
| (round(avg_color[0]), round(avg_color[1]), round(avg_color[2])) | |
| ) | |
| newpos = (img.height - img.width) // 2 | |
| newimg.paste(img, (newpos, 0)) | |
| return newimg | |
| elif img.width > img.height: | |
| newimg = Image.new( | |
| 'RGB', | |
| (img.width, img.width), | |
| (round(avg_color[0]), round(avg_color[1]), round(avg_color[2])) | |
| ) | |
| newpos = (img.width - img.height) // 2 | |
| newimg.paste(img, (0, newpos)) | |
| return newimg | |
| else: | |
| return img | |
| def home_page(): | |
| return """ | |
| <html> | |
| <body> | |
| <h2>Square and Fill Image App</h2> | |
| <p>Upload a JPG image to square and fill with color filler.</p> | |
| <form action="/upload/" enctype="multipart/form-data" method="post"> | |
| <input name="file" type="file"> | |
| <input type="submit"> | |
| </form> | |
| </body> | |
| </html> | |
| """ | |
| def upload_file(file: UploadFile = File(...)): | |
| contents = await file.read() | |
| img = Image.open(BytesIO(contents)).convert("RGB") | |
| squared_img = fill_square_cropper(img) | |
| # Save the squared image | |
| output = BytesIO() | |
| squared_img.save(output, format="JPEG") | |
| output.seek(0) | |
| return HTMLResponse(content=f"<h3>Image successfully squared!</h3><img src='data:image/jpeg;base64,{output.getvalue().hex()}' />", media_type="text/html") | |
| if __name__ == "__main__": | |
| import uvicorn | |
| setup_hf_backup(app) | |
| uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", 7860))) |