Anil Vishnoi ee7a237076 Minor fixes -
- Use port 5001
 - Publish cpu only arm64 image to quay.io as well

Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com>
2025-01-28 16:08:10 +00:00
2025-01-28 16:08:10 +00:00
2024-09-06 22:05:58 +02:00
2024-09-06 22:05:58 +02:00
2024-09-06 22:05:58 +02:00
2025-01-28 16:08:10 +00:00
2024-09-06 22:05:58 +02:00
2024-09-06 22:05:58 +02:00

Docling Serve

Running Docling as an API service.

Note

This is an unstable draft implementation which will quickly evolve.

Development

Install the dependencies

# Install poetry if not already available
curl -sSL https://install.python-poetry.org | python3 -

# Install dependencies
poetry install

# Run the server
poetry run uvicorn docling_serve.app:app --reload

Example payload (http source):

curl -X 'POST' \
  'http://127.0.0.1:8000/convert' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "http_source": {
    "url": "https://arxiv.org/pdf/2206.01062"
  }
}'

Cuda GPU Support

For GPU support try the following:

# Create a virtual env
python3 -m venv venv

# Activate the venv
source venv/bin/active

# Install torch with the special index
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124

# Install the package
pip install -e .

# Run the server
poetry run uvicorn docling_serve.app:app --reload
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