app.py

from transformers import pipeline, set_seed
from flask import Flask, request, jsonify
import random, re

app = Flask(__name__)

# モデルキャッシュ用の辞書
model_cache = {}

# テキスト候補読み込み
with open("ideas.txt", "r") as f:
    lines = f.readlines()

def get_pipeline(model_name):
    if model_name not in model_cache:
        model_cache[model_name] = pipeline('text-generation', model=model_name, tokenizer='gpt2')
    return model_cache[model_name]

def generate_prompts(starting_text, model_name, num_prompts=1):
    response_list = []
    gpt2_pipe = get_pipeline(model_name)

    for _ in range(num_prompts):
        for count in range(4):  # 最大4回試行
            seed = random.randint(100, 1000000)
            set_seed(seed)

            # 入力テキストが空ならランダムに選ぶ
            if starting_text == "":
                starting_text = lines[random.randrange(0, len(lines))].strip().lower().capitalize()
                starting_text = re.sub(r"[,:\-–.!;?_]", '', starting_text)

            # テキスト生成
            response = gpt2_pipe(starting_text, max_length=random.randint(60, 90), num_return_sequences=1)
            generated_text = response[0]['generated_text'].strip()

            # テキストをチェック・クリーン
            if generated_text != starting_text and len(generated_text) > (len(starting_text) + 4):
                cleaned_text = re.sub(r'[^ ]+\.[^ ]+', '', generated_text)
                cleaned_text = cleaned_text.replace("<", "").replace(">", "")
                response_list.append(cleaned_text)
                break

    return response_list[:num_prompts]

# APIエンドポイント
@app.route('/', methods=['GET'])
def generate_api():
    starting_text = request.args.get('text', default="", type=str)
    num_prompts = request.args.get('n', default=1, type=int)
    model_param = request.args.get('model', default="sd", type=str).lower()

    # モデル選択
    if model_param == "dall":
        model_name = "Gustavosta/MagicPrompt-Dalle"
    else:
        model_name = "Gustavosta/MagicPrompt-Stable-Diffusion"

    # プロンプト生成
    results = generate_prompts(starting_text, model_name, num_prompts=num_prompts)
    return jsonify(results)

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)