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# ===============================================================
# app.py ― Gradio 5.x + FastAPI + Gemini + Selenium + 307対策
# (1) FastAPI(redirect_slashes=False) ←★追加
# (2) Gradio を /gradio にマウント
# (3) / と /gradio を /gradio/ へリダイレクト ←★追加
# それ以外は 5.x 対応フルロジックを一切カットせず
# ===============================================================
import os, time, tempfile, logging, threading, queue
from io import BytesIO
from concurrent.futures import ThreadPoolExecutor
import numpy as np
from PIL import Image
import gradio as gr
from fastapi import FastAPI, HTTPException
from fastapi.responses import StreamingResponse, RedirectResponse
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Updated: Use the new Google Genai library
from google import genai
from google.genai import types
from huggingface_hub import hf_hub_download
# ---------------------------------------------------------------
# ロギング
# ---------------------------------------------------------------
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------
# WebDriverPool ― 以前提示した完全版と同一
# ---------------------------------------------------------------
class WebDriverPool:
"""再利用可能な WebDriver をプールして高速化"""
def __init__(self, max_drivers: int = 3):
self.driver_queue = queue.Queue()
self.max_drivers = max_drivers
self.lock = threading.Lock()
self.count = 0
logger.info(f"WebDriver プール初期化: 最大 {max_drivers}")
def _create_driver(self):
options = Options()
options.add_argument("--headless")
options.add_argument("--no-sandbox")
options.add_argument("--disable-dev-shm-usage")
options.add_argument("--force-device-scale-factor=1")
options.add_argument("--disable-features=NetworkService")
options.add_argument("--dns-prefetch-disable")
chromedriver_path = os.environ.get("CHROMEDRIVER_PATH")
if chromedriver_path and os.path.exists(chromedriver_path):
logger.info(f"CHROMEDRIVER_PATH 使用: {chromedriver_path}")
service = webdriver.ChromeService(executable_path=chromedriver_path)
return webdriver.Chrome(service=service, options=options)
return webdriver.Chrome(options=options)
def get_driver(self):
if not self.driver_queue.empty():
logger.info("既存 WebDriver 取得")
return self.driver_queue.get()
with self.lock:
if self.count < self.max_drivers:
self.count += 1
logger.info(f"新規 WebDriver 作成 ({self.count}/{self.max_drivers})")
return self._create_driver()
logger.info("プール満杯、空き待機中…")
return self.driver_queue.get()
def release_driver(self, driver):
if driver:
try:
driver.get("about:blank")
driver.execute_script("""
document.documentElement.style.overflow='';
document.body.style.overflow='';
""")
self.driver_queue.put(driver)
logger.info("WebDriver をプールに返却")
except Exception as e:
logger.error(f"返却エラー: {e}")
driver.quit()
with self.lock:
self.count -= 1
def close_all(self):
logger.info("プール全 WebDriver 終了")
closed = 0
while not self.driver_queue.empty():
try:
drv = self.driver_queue.get(block=False)
drv.quit(); closed += 1
except queue.Empty:
break
except Exception as e:
logger.error(f"終了エラー: {e}")
with self.lock: self.count = 0
logger.info(f"{closed} 個終了")
driver_pool = WebDriverPool(max_drivers=int(os.getenv("MAX_WEBDRIVERS", "3")))
# ---------------------------------------------------------------
# Pydantic モデル
# ---------------------------------------------------------------
class GeminiRequest(BaseModel):
text: str
extension_percentage: float = 10.0
temperature: float = 0.5
trim_whitespace: bool = True
style: str = "standard"
class ScreenshotRequest(BaseModel):
html_code: str
extension_percentage: float = 10.0
trim_whitespace: bool = True
style: str = "standard"
# ---------------------------------------------------------------
# 補助関数(FontAwesome レイアウト / prompt 読み込み / Gemini 生成)
# ---------------------------------------------------------------
def enhance_font_awesome_layout(html_code: str) -> str:
fa_preload = """
<link rel="preload" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/webfonts/fa-solid-900.woff2" as="font" type="font/woff2" crossorigin>
<link rel="preload" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/webfonts/fa-regular-400.woff2" as="font" type="font/woff2" crossorigin>
<link rel="preload" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/webfonts/fa-brands-400.woff2" as="font" type="font/woff2" crossorigin>
"""
fa_css = """
<style>
[class*="fa-"]{display:inline-block!important;margin-right:8px!important;vertical-align:middle!important;}
h1 [class*="fa-"],h2 [class*="fa-"],h3 [class*="fa-"],h4 [class*="fa-"],h5 [class*="fa-"],h6 [class*="fa-"]{vertical-align:middle!important;margin-right:10px!important;}
.fa+span,.fas+span,.far+span,.fab+span,span+.fa,span+.fas,span+.far+span{display:inline-block!important;margin-left:5px!important;}
.card [class*="fa-"],.card-body [class*="fa-"]{float:none!important;clear:none!important;position:relative!important;}
li [class*="fa-"],p [class*="fa-"]{margin-right:10px!important;}
.inline-icon{display:inline-flex!important;align-items:center!important;justify-content:flex-start!important;}
[class*="fa-"]+span{display:inline-block!important;vertical-align:middle!important;}
</style>
"""
if '<head>' in html_code:
return html_code.replace('</head>', f'{fa_preload}{fa_css}</head>')
return f'<html><head>{fa_preload}{fa_css}</head>{html_code}</html>'
# シンプルなプロンプトキャッシュを実装
_prompt_cache = {}
def load_system_instruction(style="standard") -> str:
# キャッシュに存在すればそれを返す
if style in _prompt_cache:
return _prompt_cache[style]
valid_styles = ["standard","cute","resort","cool","dental","school","KOKUGO"]
if style not in valid_styles:
style = "standard"
local = os.path.join(os.path.dirname(__file__), style, "prompt.txt")
if os.path.exists(local):
prompt_text = open(local, encoding="utf-8").read()
else:
try:
f = hf_hub_download("tomo2chin2/GURAREKOstlyle", f"{style}/prompt.txt", repo_type="dataset")
prompt_text = open(f, encoding="utf-8").read()
except Exception:
f = hf_hub_download("tomo2chin2/GURAREKOstlyle", "prompt.txt", repo_type="dataset")
prompt_text = open(f, encoding="utf-8").read()
# キャッシュに保存
_prompt_cache[style] = prompt_text
return prompt_text
def generate_html_from_text(text: str, temperature=0.5, style="standard") -> str:
# Updated: Use the new Google Genai client API
api_key = os.environ["GEMINI_API_KEY"]
client = genai.Client(api_key=api_key)
model_name = os.getenv("GEMINI_MODEL", "gemini-1.5-pro")
prompt = f"{load_system_instruction(style)}\n\n{text}"
# Configure generation parameters
config = types.GenerateContentConfig(
temperature=temperature,
top_p=0.7,
top_k=20,
max_output_tokens=8192,
candidate_count=1
)
# Gemini 2.5 Flash Preview モデルの場合の特別設定
if model_name == "gemini-2.5-flash-preview-04-17":
logger.info("gemini-2.5-flash-preview-04-17 モデル検出: 思考モードをオフに設定")
config.thinking_config = types.ThinkingConfig(thinking_budget=0)
# max_output_tokens を 50000 に拡張 (唯一追加した最適化)
logger.info("gemini-2.5-flash-preview-04-17 モデル検出: max_output_tokens を 50000 に設定")
config.max_output_tokens = 10000
# Generate content
response = client.models.generate_content(
model=model_name,
contents=prompt,
config=config
)
# Extract HTML from response
raw = response.text
s, e = raw.find("```html"), raw.rfind("```")
html = raw[s+7:e].strip() if s != -1 and e != -1 else raw
return enhance_font_awesome_layout(html)
def trim_image_whitespace(img: Image.Image, threshold=248, padding=20) -> Image.Image:
arr = np.array(img.convert("L"))
mask = arr < threshold
if np.any(mask):
ys, xs = np.where(mask.any(1))[0], np.where(mask.any(0))[0]
return img.crop((max(xs[0]-padding,0), max(ys[0]-padding,0),
min(xs[-1]+padding, img.width-1),
min(ys[-1]+padding, img.height-1)))
return img
# ---------------------------------------------------------------
# HTML → スクショ (完全版ロジック)
# ---------------------------------------------------------------
def render_fullpage_screenshot(html_code: str, extension_percentage=6.0,
trim_whitespace=True, driver=None) -> Image.Image:
tmp_path = None
from_pool = False
try:
if driver is None:
driver = driver_pool.get_driver()
from_pool = True
# HTML 保存
with tempfile.NamedTemporaryFile(suffix=".html", delete=False, mode="w", encoding="utf-8") as tmp:
tmp_path = tmp.name
tmp.write(html_code)
driver.set_window_size(1200, 1000)
driver.get("file://" + tmp_path)
# body 出現を待機
WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.TAG_NAME, "body")))
# リソースロード確認ループ(詳細ロジックは元コード準拠)
max_wait, inc, waited = 5, 0.2, 0.0
while waited < max_wait:
state = driver.execute_script("""
return {complete: document.readyState==='complete',
imgs: document.images.length,
loaded: Array.from(document.images).filter(i=>i.complete).length};
""")
if state['complete'] and (state['imgs']==0 or state['imgs']==state['loaded']):
break
time.sleep(inc); waited += inc
# スクロールレンダリング
total_h = driver.execute_script("return Math.max(document.body.scrollHeight, document.documentElement.scrollHeight)")
vh = driver.execute_script("return window.innerHeight")
for i in range(max(1, min(5, total_h // vh))):
driver.execute_script(f"window.scrollTo(0, {(vh-100)*i})")
time.sleep(0.1)
driver.execute_script("window.scrollTo(0,0)"); time.sleep(0.2)
dims = driver.execute_script("""
return {w: Math.max(document.body.scrollWidth, document.documentElement.scrollWidth),
h: Math.max(document.body.scrollHeight, document.documentElement.scrollHeight)}
""")
w = min(max(dims['w'], 100), 2000)
h = min(max(dims['h'], 100), 4000)
h = int(h * (1 + extension_percentage / 100.0))
driver.set_window_size(w, h); time.sleep(0.5)
img = Image.open(BytesIO(driver.get_screenshot_as_png()))
return trim_image_whitespace(img, padding=20) if trim_whitespace else img
except Exception as e:
logger.error(f"Screenshot error: {e}", exc_info=True)
return Image.new("RGB", (1, 1), (0, 0, 0))
finally:
if from_pool:
driver_pool.release_driver(driver)
if tmp_path and os.path.exists(tmp_path):
try: os.remove(tmp_path)
except Exception: pass
# ---------------------------------------------------------------
# テキスト → スクショ (並列 API 呼び出し + ドライバ確保)
# ---------------------------------------------------------------
def text_to_screenshot_parallel(text, ext_perc, temp=0.5, trim_ws=True, style="standard") -> Image.Image:
with ThreadPoolExecutor(max_workers=2) as exe:
html_future = exe.submit(generate_html_from_text, text, temp, style)
driver_future = exe.submit(driver_pool.get_driver)
html_code = html_future.result()
driver = driver_future.result()
return render_fullpage_screenshot(html_code, ext_perc, trim_ws, driver)
def text_to_screenshot(*args, **kwargs):
return text_to_screenshot_parallel(*args, **kwargs)
# ===============================================================
# FastAPI (★ redirect_slashes=False で自動 307 を殺す)
# ===============================================================
app = FastAPI(redirect_slashes=False)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# -------- API エンドポイントはそのまま --------
@app.post("/api/screenshot", response_class=StreamingResponse, tags=["Screenshot"])
async def api_render_screenshot(req: ScreenshotRequest):
img = render_fullpage_screenshot(req.html_code, req.extension_percentage, req.trim_whitespace)
buf = BytesIO(); img.save(buf, format="PNG"); buf.seek(0)
return StreamingResponse(buf, media_type="image/png")
@app.post("/api/text-to-screenshot", response_class=StreamingResponse, tags=["Gemini","Screenshot"])
async def api_text_to_screenshot(req: GeminiRequest):
img = text_to_screenshot_parallel(
req.text, req.extension_percentage, req.temperature, req.trim_whitespace, req.style)
buf = BytesIO(); img.save(buf, format="PNG"); buf.seek(0)
return StreamingResponse(buf, media_type="image/png")
# ===============================================================
# Gradio UI (完全版 UI 定義)
# ===============================================================
def process_input(mode, text, ext, temp, trim, style):
return render_fullpage_screenshot(text, ext, trim) if mode == "HTML入力" else \
text_to_screenshot_parallel(text, ext, temp, trim, style)
with gr.Blocks(title="Full Page Screenshot (テキスト変換対応)", theme=gr.themes.Origin()) as iface:
gr.Markdown("# HTMLビューア & テキスト→インフォグラフィック変換")
with gr.Row():
mode = gr.Radio(["HTML入力", "テキスト入力"], value="HTML入力", label="入力モード")
text = gr.Textbox(lines=15, label="入力")
with gr.Row():
style = gr.Dropdown(
["standard", "cute", "resort", "cool", "dental", "school", "KOKUGO"],
value="standard", label="デザインスタイル", visible=False)
with gr.Column(scale=2):
ext = gr.Slider(0, 30, value=15, step=1, label="上下高さ拡張率(%)")
temp = gr.Slider(0.0, 1.0, value=1.0, step=0.1,
label="生成時の温度", visible=False)
trim = gr.Checkbox(value=True, label="余白を自動トリミング")
btn = gr.Button("生成")
out = gr.Image(type="pil", label="スクリーンショット")
# 可視制御
def toggle(m): vis = m == "テキスト入力"; return [gr.update(visible=vis), gr.update(visible=vis)]
mode.change(toggle, mode, [temp, style])
btn.click(process_input, [mode, text, ext, temp, trim, style], out)
# モデル名を表示し、Gemini 2.5の場合は思考モードのステータスも表示
model_name = os.getenv('GEMINI_MODEL', 'gemini-1.5-pro')
thinking_status = ""
if model_name == "gemini-2.5-flash-preview-04-17":
thinking_status = "(思考モード: オフ、最大トークン: 10000)"
gr.Markdown(f"**API** `/api/screenshot`, `/api/text-to-screenshot` "
f"使用モデル: `{model_name}` {thinking_status}")
# ===============================================================
# Gradio を /gradio にマウントし、明示リダイレクトを追加
# ===============================================================
GRADIO_PATH = "/gradio"
app = gr.mount_gradio_app(app, iface, path=GRADIO_PATH, ssr_mode=False)
# ルート → /gradio/ へ転送
@app.get("/")
def _root(): return RedirectResponse(GRADIO_PATH + "/")
# 末尾スラッシュ無し → 有りへ転送
@app.get(GRADIO_PATH)
def _no_slash(): return RedirectResponse(GRADIO_PATH + "/")
# 起動時に頻繁に使用するプロンプトを先読み
@app.on_event("startup")
async def startup_event():
# 初期化は最小限に
styles = ["standard", "cute", "resort", "cool", "dental", "school", "KOKUGO"]
for style in styles:
load_system_instruction(style)
logger.info("システムプロンプトのキャッシュを準備完了")
# ===============================================================
# ローカルデバッグ
# ===============================================================
if __name__ == "__main__":
import uvicorn
logger.info("Uvicorn 起動 (ローカル)")
uvicorn.run(app, host="0.0.0.0", port=7860)
# ===============================================================
# 終了時 WebDriver クリーンアップ
# ===============================================================
import atexit
atexit.register(driver_pool.close_all) |