Upload 5 files
Browse files- Dockerfile +25 -0
- index.html +18 -0
- main.py +270 -0
- requirements.txt +4 -0
- run.py +13 -0
Dockerfile
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FROM python:3.10
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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RUN playwright install --with-deps chromium
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RUN useradd -m -u 1000 user && \
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mkdir -p /app/output /app/tmp_brat && \
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chown -R user:user /app && \
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chmod -R 777 /app/output /app/tmp_brat
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USER user
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COPY --chown=user . .
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EXPOSE 7860
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CMD ["python", "run.py"]
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index.html
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<!doctype html>
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<html lang="id">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>InuSoft Brat - FastAPI</title>
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<meta name="description" content="Brat Generator Api's">
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</head>
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<body>
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<main>
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<h1>InuSoft Brat - FastAPI</h1>
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<p>This REST API is built using FastAPI - a modern, high-performance web framework for Python specifically designed for API creation. This API especially for making text to images with brat style, you can check on the brat generator website www.bratgenerator.com</p>
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<button type="button" onclick="location.href='/docs'">View Documentation</button>
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</main>
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</body>
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</html>
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main.py
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from fastapi import FastAPI, Query, Request
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from fastapi.responses import JSONResponse, FileResponse, Response, StreamingResponse
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from playwright.async_api import async_playwright
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import os, uuid, shutil, asyncio, time, stat
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from collections import defaultdict
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app = FastAPI(
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title="BRAT GEN - API",
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description="API for generating BRAT-style text images & videos.",
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version="1.0.0",
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)
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def _ensure_dir(path: str) -> str:
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"""
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Ensures the directory can be created and written to. If it fails, falls back to /tmp.
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Sets 0777 permissions for safety in non-root containers.
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"""
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try:
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os.makedirs(path, exist_ok=True)
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os.chmod(path, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO) # 0o777
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return path
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except Exception:
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fallback = os.path.join("/tmp", os.path.basename(path))
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os.makedirs(fallback, exist_ok=True)
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os.chmod(fallback, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO)
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return fallback
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OUTPUT_DIR = _ensure_dir(os.environ.get("OUTPUT_DIR", os.path.join(os.getcwd(), "output")))
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TMP_DIR = _ensure_dir(os.environ.get("TMP_DIR", os.path.join(os.getcwd(), "tmp_brat")))
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REQUEST_LIMIT = 10 # Max requests allowed
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TIME_WINDOW = 60 # Time window in seconds (1 minute)
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BAN_DURATION = 300 # Ban duration in seconds (5 minutes)
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request_logs: dict[str, list[float]] = defaultdict(list)
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banned_ips: dict[str, float] = {}
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def get_client_ip(request: Request) -> str:
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cf = request.headers.get("CF-Connecting-IP")
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if cf:
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return cf.strip()
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xff = request.headers.get("X-Forwarded-For")
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if xff:
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return xff.split(",")[0].strip()
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return (request.client.host or "").strip()
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@app.middleware("http")
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async def anti_ddos_middleware(request: Request, call_next):
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ip = get_client_ip(request)
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now = time.time()
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if ip in banned_ips:
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if now < banned_ips[ip]:
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return JSONResponse(
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status_code=429,
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content={"error": "IP is blocked for 5 minutes due to too many requests."},
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)
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else:
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del banned_ips[ip]
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window = [ts for ts in request_logs[ip] if now - ts < TIME_WINDOW]
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window.append(now)
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request_logs[ip] = window
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if len(request_logs[ip]) > REQUEST_LIMIT:
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banned_ips[ip] = now + BAN_DURATION
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return JSONResponse(
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status_code=429,
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content={"error": "Too many requests. IP is blocked for 5 minutes."},
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)
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return await call_next(request)
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async def delete_file_after_delay(filepath: str, delay: int = 600):
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await asyncio.sleep(delay)
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try:
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if os.path.exists(filepath):
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os.remove(filepath)
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except Exception:
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pass
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@app.get("/api/brat", tags=["MAIN"], summary="Generate BRAT text image")
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async def generate_brat(
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request: Request,
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text: str = Query(..., description="Text to be inserted into the BRAT image"),
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background: str | None = Query(None, description="Background color (e.g., #000000)"),
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color: str | None = Query(None, description="Text color (e.g., #FFFFFF)"),
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):
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text = (text or "").strip()
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if not text:
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return JSONResponse(status_code=400, content={"error": "Text cannot be empty."})
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try:
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async with async_playwright() as p:
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browser = await p.chromium.launch(args=["--no-sandbox"])
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context = await browser.new_context(viewport={"width": 1536, "height": 695})
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page = await context.new_page()
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await page.goto("https://www.bratgenerator.com/", wait_until="domcontentloaded")
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try:
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| 102 |
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await page.click("text=Accept", timeout=3000)
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except Exception:
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pass
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| 106 |
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await page.click("#toggleButtonWhite")
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await page.click("#textOverlay")
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await page.click("#textInput")
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await page.fill("#textInput", text)
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await page.evaluate(
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"""(data) => {
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if (data.background) $('.node__content.clearfix').css('background-color', data.background);
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| 114 |
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if (data.color) $('.textFitted').css('color', data.color);
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}""",
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{"background": background, "color": color},
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)
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| 118 |
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| 119 |
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await asyncio.sleep(0.5)
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| 120 |
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| 121 |
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element = await page.query_selector("#textOverlay")
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| 122 |
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if not element:
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| 123 |
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await browser.close()
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| 124 |
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return JSONResponse(status_code=500, content={"error": "Target element not found."})
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| 125 |
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box = await element.bounding_box()
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| 126 |
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if not box:
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| 127 |
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await browser.close()
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| 128 |
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return JSONResponse(status_code=500, content={"error": "Failed to read element bounding box."})
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| 129 |
+
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| 130 |
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filename = f"purrbits-{uuid.uuid4().hex[:8]}.png"
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| 131 |
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filepath = os.path.join(OUTPUT_DIR, filename)
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| 132 |
+
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| 133 |
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screenshot = await page.screenshot(
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| 134 |
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clip={"x": box["x"], "y": box["y"], "width": 500, "height": 440}
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| 135 |
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)
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| 136 |
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with open(filepath, "wb") as f:
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| 137 |
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f.write(screenshot)
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| 138 |
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| 139 |
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await context.close()
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| 140 |
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await browser.close()
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| 141 |
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| 142 |
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asyncio.create_task(delete_file_after_delay(filepath))
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| 143 |
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base_url = str(request.base_url).rstrip("/")
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| 144 |
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return {"status": 200, "URL": f"{base_url}/download/file/{filename}"}
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| 145 |
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| 146 |
+
except Exception as e:
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| 147 |
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return JSONResponse(status_code=500, content={"error": f"Failed to generate image: {str(e)}"})
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| 148 |
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| 149 |
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@app.get("/api/bratvid", tags=["MAIN"], summary="Create animated video from BRAT text")
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| 150 |
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async def generate_brat_video(
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| 151 |
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request: Request,
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| 152 |
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text: str = Query(..., description="Sentence to be animated (space-separated)"),
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| 153 |
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background: str | None = Query(None, description="Background color (e.g., #000000)"),
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| 154 |
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color: str | None = Query(None, description="Text color (e.g., #FFFFFF)"),
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| 155 |
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):
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| 156 |
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text = (text or "").strip()
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| 157 |
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if not text:
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| 158 |
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return JSONResponse(status_code=400, content={"error": "Text cannot be empty."})
|
| 159 |
+
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| 160 |
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words = text.split()
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| 161 |
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if not words:
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| 162 |
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return JSONResponse(status_code=400, content={"error": "Text must contain at least one word."})
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| 163 |
+
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| 164 |
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temp_dir = _ensure_dir(os.path.join(TMP_DIR, str(uuid.uuid4())))
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| 165 |
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| 166 |
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try:
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async with async_playwright() as p:
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| 168 |
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browser = await p.chromium.launch(args=["--no-sandbox"])
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| 169 |
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context = await browser.new_context(viewport={"width": 1536, "height": 695})
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| 170 |
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page = await context.new_page()
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| 171 |
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await page.goto("https://www.bratgenerator.com/", wait_until="domcontentloaded")
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| 172 |
+
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| 173 |
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try:
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| 174 |
+
await page.click("text=Accept", timeout=3000)
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| 175 |
+
except Exception:
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| 176 |
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pass
|
| 177 |
+
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| 178 |
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await page.click("#toggleButtonWhite")
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| 179 |
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await page.click("#textOverlay")
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| 180 |
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await page.click("#textInput")
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| 181 |
+
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| 182 |
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for i in range(len(words)):
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partial_text = " ".join(words[: i + 1])
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| 184 |
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await page.fill("#textInput", partial_text)
|
| 185 |
+
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| 186 |
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await page.evaluate(
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| 187 |
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"""(data) => {
|
| 188 |
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if (data.background) $('.node__content.clearfix').css('background-color', data.background);
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| 189 |
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if (data.color) $('.textFitted').css('color', data.color);
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| 190 |
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}""",
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| 191 |
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{"background": background, "color": color},
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| 192 |
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)
|
| 193 |
+
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| 194 |
+
await asyncio.sleep(0.2)
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| 195 |
+
|
| 196 |
+
element = await page.query_selector("#textOverlay")
|
| 197 |
+
if not element:
|
| 198 |
+
await context.close()
|
| 199 |
+
await browser.close()
|
| 200 |
+
shutil.rmtree(temp_dir, ignore_errors=True)
|
| 201 |
+
return JSONResponse(status_code=500, content={"error": "Target element not found."})
|
| 202 |
+
box = await element.bounding_box()
|
| 203 |
+
if not box:
|
| 204 |
+
await context.close()
|
| 205 |
+
await browser.close()
|
| 206 |
+
shutil.rmtree(temp_dir, ignore_errors=True)
|
| 207 |
+
return JSONResponse(status_code=500, content={"error": "Failed to read element bounding box."})
|
| 208 |
+
|
| 209 |
+
screenshot = await page.screenshot(
|
| 210 |
+
clip={"x": box["x"], "y": box["y"], "width": 500, "height": 440}
|
| 211 |
+
)
|
| 212 |
+
frame_path = os.path.join(temp_dir, f"frame{i:03d}.png")
|
| 213 |
+
with open(frame_path, "wb") as f:
|
| 214 |
+
f.write(screenshot)
|
| 215 |
+
|
| 216 |
+
await context.close()
|
| 217 |
+
await browser.close()
|
| 218 |
+
|
| 219 |
+
# Render video with ffmpeg
|
| 220 |
+
output_filename = f"purrbits-{uuid.uuid4().hex[:8]}.mp4"
|
| 221 |
+
output_path = os.path.join(OUTPUT_DIR, output_filename)
|
| 222 |
+
|
| 223 |
+
ffmpeg_cmd = [
|
| 224 |
+
"ffmpeg",
|
| 225 |
+
"-y",
|
| 226 |
+
"-framerate", "1.428",
|
| 227 |
+
"-i", os.path.join(temp_dir, "frame%03d.png"),
|
| 228 |
+
"-vf", "scale=trunc(iw/2)*2:trunc(ih/2)*2,fps=30",
|
| 229 |
+
"-c:v", "libx264",
|
| 230 |
+
"-preset", "ultrafast",
|
| 231 |
+
"-pix_fmt", "yuv420p",
|
| 232 |
+
output_path,
|
| 233 |
+
]
|
| 234 |
+
|
| 235 |
+
process = await asyncio.create_subprocess_exec(
|
| 236 |
+
*ffmpeg_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE
|
| 237 |
+
)
|
| 238 |
+
_, stderr = await process.communicate()
|
| 239 |
+
|
| 240 |
+
if process.returncode != 0:
|
| 241 |
+
shutil.rmtree(temp_dir, ignore_errors=True)
|
| 242 |
+
return JSONResponse(status_code=500, content={"error": stderr.decode()})
|
| 243 |
+
|
| 244 |
+
asyncio.create_task(delete_file_after_delay(output_path))
|
| 245 |
+
base_url = str(request.base_url).rstrip("/")
|
| 246 |
+
return {"status": 200, "URL": f"{base_url}/download/file/{output_filename}"}
|
| 247 |
+
|
| 248 |
+
except Exception as e:
|
| 249 |
+
return JSONResponse(status_code=500, content={"error": str(e)})
|
| 250 |
+
finally:
|
| 251 |
+
shutil.rmtree(temp_dir, ignore_errors=True)
|
| 252 |
+
|
| 253 |
+
@app.get("/", summary="Root Endpoint", tags=["MISC"], description="Displaying the main page.")
|
| 254 |
+
async def root():
|
| 255 |
+
# take absolute path based on main.py file location
|
| 256 |
+
html_path = os.path.join(os.path.dirname(__file__), "index.html")
|
| 257 |
+
|
| 258 |
+
if os.path.exists(html_path):
|
| 259 |
+
return FileResponse(html_path)
|
| 260 |
+
return JSONResponse(status_code=404, content={"error": "index.html file not found"})
|
| 261 |
+
|
| 262 |
+
@app.get("/download/file/{filename}", tags=["MISC"])
|
| 263 |
+
async def download_file(filename: str):
|
| 264 |
+
filepath = os.path.join(OUTPUT_DIR, filename)
|
| 265 |
+
if not os.path.exists(filepath):
|
| 266 |
+
return JSONResponse(status_code=404, content={"error": "File not found"})
|
| 267 |
+
|
| 268 |
+
with open(filepath, "rb") as f:
|
| 269 |
+
data = f.read()
|
| 270 |
+
return Response(data, media_type="application/octet-stream")
|
requirements.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi
|
| 2 |
+
uvicorn
|
| 3 |
+
playwright
|
| 4 |
+
asyncio
|
run.py
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import subprocess
|
| 2 |
+
import uvicorn
|
| 3 |
+
from main import app
|
| 4 |
+
|
| 5 |
+
if __name__ == "__main__":
|
| 6 |
+
subprocess.run(["playwright", "install", "chromium"], check=True)
|
| 7 |
+
uvicorn.run(
|
| 8 |
+
app,
|
| 9 |
+
host="0.0.0.0",
|
| 10 |
+
port=7860,
|
| 11 |
+
proxy_headers=True,
|
| 12 |
+
forwarded_allow_ips="*"
|
| 13 |
+
)
|