Initial marker-api benchmark setup: Containerfile, app.py, convert_both.py, compare_conversions.py

gunicorn.conf.py

@@ -0,0 +1,29 @@
+# gunicorn.conf.py -- production WSGI config for marker-api
+import os
+import multiprocessing
+
+port = int(os.environ.get("PORT", "8000"))
+workers = min(multiprocessing.cpu_count() * 2 + 1, 8)
+
+bind = f"0.0.0.0:{port}"
+workers = int(os.environ.get("GUNICORN_WORKERS", "1"))
+workers = min(workers, 8)
+
+worker_class = "gthread"
+threads = int(os.environ.get("GUNICORN_THREADS", "4"))
+timeout = int(os.environ.get("GUNICORN_TIMEOUT", "300"))
+graceful_timeout = 60
+
+accesslog = "-"
+errorlog = "-"
+loglevel = os.environ.get("GUNICORN_LOGLEVEL", "info")
+
+# Preload so models are loaded once in master process (not duplicated per-worker)
+preload_app = True
+
+# Enable worker recycling to prevent memory leaks
+max_requests = 1000
+max_requests_jitter = 100
+
+# Tempdir for marker uploads
+tempdir = "/app/uploads"