WORK IN PROGRESS

⚠️ Dont use yet !

htrflow_app: A demo app for htrflow

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.

Run app

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

Run with Docker

There are two options:

Run with Docker locally

Build container:

docker build --tag htrflow/htrflow-app .

Run container:

docker run -it -d --name htrflow-app -p 7000:7860  htrflow/htrflow-app:latest

Run with Docker with HF

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

---

Instructions for documentation

• Naming convention of folder is based on tab
• Naming convention of file is based on subtabs
  • If subtab uses columns and rows
    • Use suffix such as col1, row1 or tab1, to indicate differences in postion of text.

see image below:

Assets and file sharing with app

This repo acts as asset manager for the app:

• Github Repo

Note: this repo is an work in progress