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