Labelstudio + streamlit + docker

app.py

import streamlit as st
from streamlit_labelstudio import st_labelstudio
# from https://github.com/deneland/streamlit-labelstudio/blob/master/app.py
st.set_page_config(layout='wide')

config = """
      <View>
        <Labels name="ner" toName="text">
          <Label value="Person"></Label>
          <Label value="Organization"></Label>
          <Label value="Fact"></Label>
          <Label value="Money"></Label>
          <Label value="Date"></Label>
          <Label value="Time"></Label>
          <Label value="Ordinal"></Label>
          <Label value="Percent"></Label>
          <Label value="Product"></Label>
          <Label value="Language"></Label>
          <Label value="Location"></Label>
        </Labels>
        <Text name="text" value="$text"></Text>
      </View>
    """

interfaces = [
  "panel",
  "update",
  "controls",
  "side-column",
  "completions:menu",
  "completions:add-new",
  "completions:delete",
  "predictions:menu",
],

user = {
  'pk': 1,
  'firstName': "James",
  'lastName': "Dean"
},

task = {
  'completions': [],
  'predictions': [],
  'id': 1,
  'data': {
    'text': "Charlotte is the most populous city in the U.S. state of North Carolina.",
    'test': "Located in the Piedmont, it is the county seat of Mecklenburg County.",
    'test': "In 2019, the U.S. Census Bureau estimated the population was 885,708, making it the 15th-most populous city in the U.S. and the second-largest in the Southeast behind Jacksonville, Florida.",
    'test': "The city is the cultural, economic, and transportation center of the Charlotte metropolitan area, whose population ranks 22nd in the U.S., and had a population of 2,569,213, in 2018.",
    'test': "The Charlotte metropolitan area is part of a sixteen-county market region or combined statistical area with a 2018 census-estimated population of 2,728,933."       
  }
}

results_raw = st_labelstudio(config, interfaces, user, task)

if results_raw is not None:
  st.table(results_raw)

Dockerfile

FROM python:3.7
EXPOSE 8501
WORKDIR /app
COPY requirements.txt ./requirements.txt
RUN pip3 install -r requirements.txt
COPY . .
CMD streamlit run app.py

requirements.txt

streamlit
streamlit-labelstudio

git clone https://gist.github.com/wesslen/9cded4be2f4610e5b15a9fa8ddfc47d3 streamlit-labelstudio
cd streamlit-labelstudio
docker build -t streamlit-labelstudio .
docker run -dp 8501:8501 streamlit-labelstudio