FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM: legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint, a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual example outputs, and quantization/concurrency benchmarks. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
28 lines
360 B
Plaintext
28 lines
360 B
Plaintext
# Python bytecode
|
|
__pycache__/
|
|
*.py[cod]
|
|
|
|
# Logs
|
|
logs/
|
|
*.log
|
|
|
|
# Virtualenvs, caches, agent tooling
|
|
.venv*/
|
|
.pytest_cache/
|
|
.agents/
|
|
.codex/
|
|
|
|
# Benchmark / eval / quantization artifacts (kept on disk, never in git)
|
|
results/
|
|
baseline_outputs/
|
|
eval_set/
|
|
|
|
# Local docs / working notes
|
|
docs/
|
|
|
|
# Scratch OCR inputs/outputs
|
|
temp_image_*
|
|
output.json
|
|
compare_out/
|
|
*.pdf
|