app.py

import os
from datasets import load_dataset
import json
import uuid
from pathlib import Path
import json
from datasets import load_dataset
from flask import Flask
from flask_cors import CORS
from PIL import Image

app = Flask(__name__, static_url_path='/static')

CORS(app)

TOKEN = os.environ.get('dataset_token')
dataset = load_dataset(
    "huggingface-projects/wordalle_prompts", use_auth_token=TOKEN)
Path("static/images").mkdir(parents=True, exist_ok=True)

# extract images and prompts from dataset and save to dis
data = {}
for row in dataset['train']:
    prompt = dataset['train'].features['label'].int2str(row['label'])
    image = row['image']
    hash = uuid.uuid4().hex
    image_file = Path(f'static/images/{hash}.jpg')
    image_compress = image.resize((136, 136), Image.Resampling.LANCZOS)
    image_compress.save(image_file, optimize=True, quality=95)
    if prompt not in data:
        data[prompt] = []
    data[prompt].append(str(image_file))

with open('static/data.json', 'w') as f:
    json.dump(data, f)


@app.route('/')
def index():
    return app.send_static_file('index.html')


@app.route('/data')
def getdata():
    return app.send_static_file('data.json')


if __name__ == '__main__':
    app.run(host='0.0.0.0',  port=int(os.environ.get('PORT', 7860)))