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| import gradio as gr | |
| import openai | |
| import os | |
| import json | |
| from PIL import Image, ImageDraw | |
| import io | |
| import requests | |
| canvas_width = 500 | |
| canvas_height = 400 | |
| html = f""" | |
| <head> | |
| <style> | |
| #selectRect {{ | |
| position: absolute; | |
| border: 1px dashed red; | |
| background-color: rgba(255, 0, 0, 0.3); | |
| }} | |
| </style> | |
| </head> | |
| <body> | |
| <canvas id="canvas-root", width="{canvas_width}", height="{canvas_height}"></canvas> | |
| <div id="selectRect"></div> | |
| </body> | |
| """ | |
| scripts = """ | |
| async () => { | |
| let isSelecting = false; | |
| let startX, startY, endX, endY; | |
| const canvas = document.getElementById('canvas-root'); | |
| const ctx = canvas.getContext('2d'); | |
| const canvasRect = canvas.getBoundingClientRect(); | |
| const selectRect = document.getElementById('selectRect'); | |
| const coordinatesElement = document.querySelector('#rectangle textarea'); | |
| function handleMouseDown(event) { | |
| startX = event.clientX - canvasRect.left; | |
| startY = event.clientY - canvasRect.top; | |
| if (startX >= 0 && startY >= 0 && startX <= canvasRect.width && startY <= canvasRect.height) { | |
| isSelecting = true; | |
| } | |
| } | |
| function handleMouseMove(event) { | |
| if (isSelecting) { | |
| endX = Math.min(event.clientX - canvasRect.left, canvasRect.width); | |
| endY = Math.min(event.clientY - canvasRect.top, canvasRect.height); | |
| endX = Math.max(0, endX); | |
| endY = Math.max(0, endY); | |
| const left = Math.min(startX, endX); | |
| const top = Math.min(startY, endY); | |
| const width = Math.abs(endX - startX); | |
| const height = Math.abs(endY - startY); | |
| selectRect.style.left = left + 'px'; | |
| selectRect.style.top = top + 'px'; | |
| selectRect.style.width = width + 'px'; | |
| selectRect.style.height = height + 'px'; | |
| coordinatesElement.value = `{"left": ${left}, "top": ${top}, "width": ${width}, "height": ${height}}`; | |
| coordinatesElement.dispatchEvent(new CustomEvent("input")) | |
| } | |
| } | |
| function handleMouseUp() { | |
| isSelecting = false; | |
| } | |
| document.addEventListener('mousedown', handleMouseDown); | |
| document.addEventListener('mousemove', handleMouseMove); | |
| document.addEventListener('mouseup', handleMouseUp); | |
| } | |
| """ | |
| image_change = """ | |
| async () => { | |
| const canvas = document.getElementById('canvas-root'); | |
| const ctx= canvas.getContext('2d'); | |
| const canvasRect = canvas.getBoundingClientRect(); | |
| const selectRect = document.getElementById('selectRect'); | |
| selectRect.style.left = 0; | |
| selectRect.style.top = 0; | |
| selectRect.style.width = 0; | |
| selectRect.style.height = 0; | |
| ctx.clearRect(0, 0, canvasRect.width, canvasRect.height); | |
| var img = document.querySelector('#input_image img'); | |
| img.onload = function(){ | |
| if ((img.naturalWidth / canvasRect.width) > (img.naturalHeight / canvasRect.height)) { | |
| width = canvasRect.width; | |
| height = img.naturalHeight * (width / img.naturalWidth); | |
| } else { | |
| height = canvasRect.height; | |
| width = img.naturalWidth * (height / img.naturalHeight); | |
| } | |
| ctx.drawImage(img, 0, 0, width, height); | |
| } | |
| } | |
| """ | |
| def pil_to_bytes(pil_image, format='PNG'): | |
| image_bytes = io.BytesIO() | |
| pil_image.save(image_bytes, format=format) | |
| return image_bytes.getvalue() | |
| def expand2square(image, background_color): | |
| width, height = image.size | |
| longest = max(width, height) | |
| result = Image.new(image.mode, (longest, longest), background_color) | |
| result.paste(image, (0, 0)) | |
| return result.resize((2048, 2048)) | |
| def gen_mask(image, left, top, right, bottom): | |
| mask = Image.new("RGBA", image.size, (0, 0, 0, 255)) | |
| width = image.size[0] | |
| height = image.size[1] | |
| draw = ImageDraw.Draw(mask) | |
| draw.rectangle( | |
| [(left*width, top*height), (right*width, bottom*height)], fill=(255, 255, 255, 0) | |
| ) | |
| return mask | |
| def create_edit(image, rect, prompt, api_key, api_organization=None): | |
| openai.organization = api_organization | |
| openai.api_key = api_key | |
| rect = json.loads(rect) | |
| image.putalpha(alpha=255) | |
| square_image = expand2square(image, "black") | |
| left, top, width, height = rect["left"], rect["top"], rect["width"], rect["height"] | |
| left, top, right, bottom = left / canvas_width, top / canvas_height, (left + width) / canvas_width, (top + height) / canvas_height | |
| response = openai.Image.create_edit( | |
| image=pil_to_bytes(square_image), | |
| mask=pil_to_bytes(gen_mask(square_image, left, top, right, bottom)), | |
| prompt=prompt, | |
| n=1, | |
| size="512x512" | |
| ) | |
| edited_image_url = response['data'][0]['url'] | |
| edited_image = requests.get(edited_image_url) | |
| edited_image = Image.open(io.BytesIO(edited_image.content)) | |
| raw_width, raw_height = image.size | |
| raw_longest = max(raw_width, raw_height) | |
| crop_width = raw_width * edited_image.size[0] / raw_longest | |
| crop_height = raw_height * edited_image.size[1] / raw_longest | |
| croped_edited_image = edited_image.crop((0,0,crop_width, crop_height)) | |
| return croped_edited_image | |
| with gr.Blocks() as demo: | |
| with gr.Accordion("OpenAI API Settings", open=False): | |
| api_key = gr.Textbox(label="OpenAI API key", placeholder="OpenAI API key") | |
| api_organization = gr.Textbox(label="OpenAI API organization", placeholder="OpenAI API organization (optional)") | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt_text = gr.Textbox(label="Prompt") | |
| prompt_examples = gr.Examples( | |
| examples=[ | |
| "White plate.", | |
| "A cherry on top of the pasta.", | |
| "Curry.", | |
| ], | |
| inputs=[prompt_text], | |
| outputs=None, | |
| ) | |
| in_image = gr.Image(label="Input", elem_id="input_image", type="pil") | |
| image_examples = gr.Examples( | |
| examples=[ | |
| "images/001.jpg", | |
| "images/002.jpg", | |
| "images/003.jpg", | |
| ], | |
| inputs=[in_image], | |
| outputs=None, | |
| ) | |
| out_image = gr.Image(label="Output") | |
| with gr.Column(): | |
| gr.Markdown( | |
| """ | |
| # Edit領域の指定 | |
| 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。 | |
| """) | |
| input_mic = gr.HTML(html) | |
| btn = gr.Button(value="Image Edit") | |
| rect_text = gr.Textbox(elem_id="rectangle", visible=False) | |
| in_image.change(None, inputs=None, outputs=None, _js=image_change) | |
| btn.click(create_edit, inputs=[in_image, rect_text, prompt_text, api_key, api_organization], outputs=[out_image]) | |
| demo.load(_js=scripts) | |
| demo.launch() |