We're thrilled to introduce htrflow, our demonstration platform that brings to life the process of transcribing Swedish handwritten documents from the 17th to the 19th century.
htrflow_app is designed to provide users with a step-by-step visualization of the HTR-process, and offer non-expert users an inside look into the workings of an AI-transcription pipeline. At the moment htrflow_app is mainly a demo-application. It’s not intended for production, but instead to showcase the immense possibilities that HTR-technology is opening up for cultural heritage institutions around the world.
All code is open-source, all our models are on Hugging Face and are free to use, and all data will be made available for download and use on Hugging Face as well.
Note that the backend (src) for the app will be rewritten and packaged to be more optimized under the project name htrflow_core.
Use virtual env.
python3 -m venv .venv
source .venv/bin/activate
Install libraries with Makefile:
make install
With pip:
pip install -r requirements.txt
Run app with:
gradio app.py
There are two options:
Build container:
docker build --tag htrflow/htrflow-app .
Run container:
docker run -it -d --name htrflow-app -p 7000:7860 htrflow/htrflow-app:latest
You can also just run it from Hugging Face:
docker run -it -p 7860:7860 --platform=linux/amd64 --gpus all \
-e registry.hf.space/riksarkivet-htr-demo:latest