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from pathlib import Path | |
from itertools import chain | |
import gdown | |
# from PIL import Image | |
# from numpy import asarray | |
from run import launch | |
# download | |
if not Path('./data/esper_demo').is_dir(): | |
url = 'https://drive.google.com/drive/folders/1pfWN4WwruOuS5uiuPyPFVB9kidlCV7kc' | |
gdown.download_folder(url, quiet=False, use_cookies=False, output="./data/") | |
assert Path('./data/esper_demo').is_dir() | |
# example image from COCO data | |
image_urls = { | |
# '108953': 'https://farm8.staticflickr.com/7160/6484651991_9d1eaa557a_z.jpg' | |
# '394905': 'http://farm5.staticflickr.com/4151/4955575345_6c6bdfae9d_z.jpg', | |
'330341': 'https://farm4.staticflickr.com/3018/3451080626_4a43435f4b_z.jpg', | |
'396820': 'https://farm1.staticflickr.com/148/351466274_8d7174e11b_z.jpg' | |
} | |
images = {} | |
for k, url in image_urls.items(): | |
ext = Path(url).suffix | |
output = Path(f"data/images/{k}{ext}") | |
if not output.is_file(): | |
output.parent.mkdir(exist_ok=True) | |
gdown.download(url, quiet=False, use_cookies=False, output=str(output)) | |
images[k] = str(output) | |
''' | |
for k, v in images.items(): | |
with Image.open(v) as image: | |
# image = asarray(image) | |
images[k] = image | |
''' | |
prompts = ['blog:', 'dialogue:', 'This is my favorite poem:'] | |
title = 'Demo for ESPER' | |
description = None | |
prompt_eg = f'try pretrained styles such as "blog:" or "dialogue:"\n or unseen prompts such as "{prompts[-1]}"' | |
examples = [[[v, prompt, 20, False] for prompt in prompts] | |
for v in images.values()] | |
examples = list(chain(*examples)) | |
launch(examples, title=title, description=description, prompt_eg=prompt_eg) | |