moved Docker image to external repo

Dockerfile

@@ -1,46 +0,0 @@
-FROM pytorch/pytorch:2.4.0-cuda12.1-cudnn9-runtime
-
-ENV NB_USER jovyan
-ENV NB_UID 1000
-ENV NB_PREFIX /
-
-RUN export DEBIAN_FRONTEND=noninteractive \
-    && apt-get -yq update \
-    && apt-get -yq install --no-install-recommends \
-        git \
-        ffmpeg \
-        software-properties-common \
-    &&  apt upgrade -y \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN export DEBIAN_FRONTEND=noninteractive \
-    && add-apt-repository ppa:deadsnakes/ppa \
-    && apt-get -yq update \
-    && apt-get -yq install --no-install-recommends \
-        python3.11 \
-        python3.11-venv \
-    &&  apt upgrade -y \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN useradd -M -s /bin/bash -N -u ${NB_UID} ${NB_USER} \
-    && mkdir -p ${HOME} \
-    && chown -R ${NB_USER}:users ${HOME} \
-    && chown -R ${NB_USER}:users /usr/local/bin
-
-USER $NB_UID
-WORKDIR /home/${NB_USER}/
-ENV PATH=/venv/bin:$PATH
-
-COPY --chown=${NB_USER}:users ./requirements.txt /home/${NB_USER}/requirements.txt
-RUN python3.11 -m venv /home/${NB_USER}/venv \
-    && /home/${NB_USER}/venv/bin/pip install --upgrade pip wheel \
-    && /home/${NB_USER}/venv/bin/pip install -r /home/${NB_USER}/requirements.txt
-
-COPY --chown=${NB_USER}:users ./.env* /home/${NB_USER}/
-COPY --chown=${NB_USER}:users ./src /home/${NB_USER}/src
-
-EXPOSE 7860
-
-CMD ["/home/jovyan/venv/bin/python", "-u", "/home/jovyan/src/app.py"]

README.md

@@ -46,17 +46,15 @@ For a desktop (visual UI available), follow [these instructions](https://www.doc
 
 ### Docker (recommended)
 
-Build the Docker image
-
-`docker build -t asr .` (make sure Docker is running on your system)
+The Docker image is prebuilt and maintained at [tools4eu/docker-asr](https://github.com/tools4eu/docker-asr) and available on the Docker Hub as [tools4eu/asr](https://hub.docker.com/repository/docker/tools4eu/asr/general)
 
 Run the Docker image, forward port 7860 (Gradio) and pass your GPU(s) to the container
 
-`docker run -p 7860:7860 --gpus all asr`
+`docker run -p 7860:7860 --gpus all tools4eu/asr`
 
 Or in detached mode (in background)
 
-`docker run -d -p 7860:7860 --gpus all asr`
+`docker run -d -p 7860:7860 --gpus all tools4eu/asr`
 
 You can check whether it is running with