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dovedovepigeon
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•
2235ebb
1
Parent(s):
fcd6568
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,199 @@
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import os
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import json
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from PIL import Image, ImageDraw
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import io
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import requests
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openai.organization = os.getenv("API_ORG")
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openai.api_key = os.getenv("API_KEY")
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app_password = os.getenv("APP_PASSWORD")
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app_username = os.getenv("APP_USERNAME")
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canvas_width = 500
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canvas_height = 400
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html = f"""
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<head>
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<style>
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#selectRect {{
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position: absolute;
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border: 1px dashed red;
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background-color: rgba(255, 0, 0, 0.3);
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}}
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</style>
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</head>
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<body>
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<canvas id="canvas-root", width="{canvas_width}", height="{canvas_height}"></canvas>
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<div id="selectRect"></div>
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</body>
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"""
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scripts = """
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async () => {
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let isSelecting = false;
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let startX, startY, endX, endY;
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const canvas = document.getElementById('canvas-root');
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const ctx = canvas.getContext('2d');
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const canvasRect = canvas.getBoundingClientRect();
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const selectRect = document.getElementById('selectRect');
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const coordinatesElement = document.querySelector('#rectangle textarea');
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function handleMouseDown(event) {
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startX = event.clientX - canvasRect.left;
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startY = event.clientY - canvasRect.top;
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if (startX >= 0 && startY >= 0 && startX <= canvasRect.width && startY <= canvasRect.height) {
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isSelecting = true;
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}
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}
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function handleMouseMove(event) {
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if (isSelecting) {
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endX = Math.min(event.clientX - canvasRect.left, canvasRect.width);
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endY = Math.min(event.clientY - canvasRect.top, canvasRect.height);
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endX = Math.max(0, endX);
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endY = Math.max(0, endY);
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const left = Math.min(startX, endX);
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const top = Math.min(startY, endY);
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const width = Math.abs(endX - startX);
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const height = Math.abs(endY - startY);
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selectRect.style.left = left + 'px';
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selectRect.style.top = top + 'px';
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selectRect.style.width = width + 'px';
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selectRect.style.height = height + 'px';
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coordinatesElement.value = `{"left": ${left}, "top": ${top}, "width": ${width}, "height": ${height}}`;
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coordinatesElement.dispatchEvent(new CustomEvent("input"))
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}
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}
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function handleMouseUp() {
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isSelecting = false;
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}
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document.addEventListener('mousedown', handleMouseDown);
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document.addEventListener('mousemove', handleMouseMove);
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document.addEventListener('mouseup', handleMouseUp);
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}
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"""
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image_change = """
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async () => {
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const canvas = document.getElementById('canvas-root');
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const ctx= canvas.getContext('2d');
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const canvasRect = canvas.getBoundingClientRect();
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const selectRect = document.getElementById('selectRect');
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selectRect.style.left = 0;
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selectRect.style.top = 0;
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selectRect.style.width = 0;
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selectRect.style.height = 0;
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ctx.clearRect(0, 0, canvasRect.width, canvasRect.height);
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var img = document.querySelector('#input_image img');
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img.onload = function(){
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if ((img.naturalWidth / canvasRect.width) > (img.naturalHeight / canvasRect.height)) {
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width = canvasRect.width;
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height = img.naturalHeight * (width / img.naturalWidth);
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} else {
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height = canvasRect.height;
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width = img.naturalWidth * (height / img.naturalHeight);
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}
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ctx.drawImage(img, 0, 0, width, height);
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}
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}
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"""
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def pil_to_bytes(pil_image, format='PNG'):
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image_bytes = io.BytesIO()
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pil_image.save(image_bytes, format=format)
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return image_bytes.getvalue()
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def expand2square(image, background_color):
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width, height = image.size
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longest = max(width, height)
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result = Image.new(image.mode, (longest, longest), background_color)
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result.paste(image, (0, 0))
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return result.resize((2048, 2048))
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def gen_mask(image, left, top, right, bottom):
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mask = Image.new("RGBA", image.size, (0, 0, 0, 255))
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width = image.size[0]
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height = image.size[1]
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draw = ImageDraw.Draw(mask)
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draw.rectangle(
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[(left*width, top*height), (right*width, bottom*height)], fill=(255, 255, 255, 0)
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)
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return mask
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def create_edit(image, rect, prompt):
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rect = json.loads(rect)
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image.putalpha(alpha=255)
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square_image = expand2square(image, "black")
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left, top, width, height = rect["left"], rect["top"], rect["width"], rect["height"]
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left, top, right, bottom = left / canvas_width, top / canvas_height, (left + width) / canvas_width, (top + height) / canvas_height
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response = openai.Image.create_edit(
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image=pil_to_bytes(square_image),
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mask=pil_to_bytes(gen_mask(square_image, left, top, right, bottom)),
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prompt=prompt,
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n=1,
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size="512x512"
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)
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edited_image_url = response['data'][0]['url']
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edited_image = requests.get(edited_image_url)
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edited_image = Image.open(io.BytesIO(edited_image.content))
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raw_width, raw_height = image.size
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raw_longest = max(raw_width, raw_height)
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crop_width = raw_width * edited_image.size[0] / raw_longest
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crop_height = raw_height * edited_image.size[1] / raw_longest
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croped_edited_image = edited_image.crop((0,0,crop_width, crop_height))
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return croped_edited_image
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with gr.Blocks() as demo:
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with gr.Column():
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with gr.Row():
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with gr.Column():
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prompt_text = gr.Textbox(label="Prompt")
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prompt_examples = gr.Examples(
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examples=[
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"White plate.",
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"A cherry on top of the pasta.",
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"Curry.",
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],
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inputs=[prompt_text],
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outputs=None,
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)
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in_image = gr.Image(label="Input", elem_id="input_image", type="pil")
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image_examples = gr.Examples(
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examples=[
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"./001.png",
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"./002.png",
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"./003.png",
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],
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inputs=[in_image],
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outputs=None,
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)
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out_image = gr.Image(label="Output")
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with gr.Column():
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gr.Markdown(
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"""
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# Edit領域の指定
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ドラッグで編集対象のマスクの領域を指定してください。
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""")
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input_mic = gr.HTML(html)
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btn = gr.Button(value="Image Edit")
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rect_text = gr.Textbox(elem_id="rectangle", visible=False)
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in_image.change(None, inputs=None, outputs=None, _js=image_change)
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btn.click(create_edit, inputs=[in_image, rect_text, prompt_text], outputs=[out_image])
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demo.load(_js=scripts)
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demo.launch(share=False, auth=(app_username, app_password))
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