Take out OVH run-time params

Dockerfile.train.jupyter

@@ -40,7 +40,6 @@ RUN wget --no-check-certificate https://github.com/coqui-ai/STT/releases/downloa
     rm temp.tar.xz
 
 
-#FROM gcr.io/kaggle-gpu-images/python:v98
 FROM nvcr.io/nvidia/tensorflow:21.05-tf1-py3
 ENV DEBIAN_FRONTEND=noninteractive
 
@@ -98,12 +97,6 @@ RUN rm -rf ~/.local/share/stt
 ##
 #
 
-#FROM gcr.io/kaggle-gpu-images/python:v98
-
-RUN chsh -s /bin/bash
-ENV SHELL=/bin/bash
-RUN rm /bin/sh && ln -s /bin/bash /bin/sh
-
 RUN apt-get update && apt-get install -y \
     man \
     vim \
@@ -129,14 +122,6 @@ RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
 RUN jupyter nbextension enable --py widgetsnbextension #enable ipywidgets
 RUN jupyter labextension install jupyterlab-plotly
 
-# #### tensorflow 1
-# # Create the environment:
-# SHELL ["/bin/bash", "-c"]
-# COPY tfenv.yml .
-# RUN conda env create -f tfenv.yml
-# SHELL ["conda", "run", "-n", "tf1", "/bin/bash", "-c"]
-# RUN python -m ipykernel install --name=tensorflow1
-
 EXPOSE 8080
 
 ADD start.sh /

start.sh

@@ -1,9 +1,4 @@
 #!/usr/bin/env bash
 set -eu
 
-jupyter lab --ip=0.0.0.0 --port=8080 --no-browser --allow-root \
-  --LabApp.token='' \
-  --LabApp.custom_display_url=${JOB_URL_SCHEME}${JOB_ID}.${JOB_HOST} \
-  --LabApp.allow_remote_access=True \
-  --LabApp.allow_origin='*' \
-  --LabApp.disable_check_xsrf=True
+jupyter lab --ip=0.0.0.0 --port=8080 --allow-root