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>
26 lines
361 B
Plaintext
26 lines
361 B
Plaintext
# Keep the build context small — none of this is needed at runtime.
|
|
.git
|
|
.venv-quant
|
|
.venv
|
|
venv
|
|
*.venv
|
|
.pytest_cache
|
|
__pycache__
|
|
**/__pycache__
|
|
*.pyc
|
|
results
|
|
baseline_outputs
|
|
eval_set
|
|
docs
|
|
tests
|
|
logs/*.log
|
|
concurrency_*.json
|
|
concurrency_*.csv
|
|
concurrency_*.png
|
|
concurrency_sweep.py
|
|
concurrency_test.py
|
|
*.md
|
|
temp_image_*.png
|
|
temp_image_*.jpg
|
|
temp_image_*.jpeg
|