came back

README.md

@@ -1,5 +1,4 @@
 ---
-<<<<<<< HEAD
 title: Deepvats
 emoji: 🐢
 colorFrom: red
@@ -7,14 +6,17 @@ colorTo: pink
 sdk: docker
 pinned: false
 license: mit
-=======
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+---
 title: DeepVATS 2024
-emoji: 🐳
+emoji: 🐨
 colorFrom: green
 colorTo: blue
 sdk: docker
 pinned: false
->>>>>>> b61f6e4 (initial commit)
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

docker/.env

@@ -1,29 +0,0 @@
-# The name of the docker-compose project
-COMPOSE_PROJECT_NAME=dvats
-# The user ID you are using to run docker-compose
-USER_ID=1004
-# The group ID you are using to run docker-compose (you can get it with id -g in a terminal)
-GROUP_ID=1004
-# The user name assigned to the user id
-USER_NAME=yourusername
-# The port from which you want to access Jupyter lab
-JUPYTER_PORT=7861
-# The token used to access (like a password)
-JUPYTER_TOKEN=password
-# The path toz your data files to train/test the models
-LOCAL_DATA_PATH=/home/yourusername/work_dir
-# The W&B entity
-WANDB_ENTITY=youruser
-# The W&B project
-WANDB_PROJECT=deepvats
-# The W&B personal API key (see https://wandb.ai/authorize)
-WANDB_API_KEY=yourkey
-# List of comma separated GPU indices that will be available in the container (by default only 0, the first one)
-CUDA_VISIBLE_DEVICES=0,1,2,3
-# Github PAT (see https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and>
-GH_TOKEN=yourtoken
-# Port in which you want Rstudio server to be deployed (for developing in the front end)
-RSTUDIO_PORT=7862
-# Password to access the Rstudio server
-RSTUDIO_PASSWD=password
-    

docker/DESCRIPTION

@@ -1,18 +0,0 @@
-Depends:
-    R (>= 3.6.0),
-    shiny,
-    pals,
-    shinyWidgets,
-    dygraphs,
-    shinycssloaders,
-    shinyjs,
-    Rcpp,
-    reactlog,
-    feather,
-    fasttime,
-    zoo,
-    reticulate,
-    xts
-Remotes: 
-    r-lib/later,
-    apache/arrow/r

docker/Dockerfile.jupyter

@@ -1,146 +0,0 @@
-#############################
-# JUPYTER VOLUME DOCKERFILE #
-#***************************#
-# Set up a jupyter-lab for  #
-# developing using deepvats #
-#############################
-##############
-# Base image #
-##############
-##--- Setup Ubuntu
-ARG CUDA_VERSION
-FROM nvidia/cuda:${CUDA_VERSION}
-
-#--- Tags
-LABEL maintainer="vrodriguezf <victor.rfernandez@upm.es>"
-LABEL cuda_version=${CUDA_VERSION}
-LABEL log_path=${log_path}
-##---Initialize bash
-LABEL cuda_version=${CUDA_VERSION}
-
-RUN echo "Cuda version: $CUDA_VERSION"
-##---Initialize bash
-SHELL [ "/bin/bash", "--login", "-c" ]
-
-##################
-# Packages setup #
-################## 
-#TODO: Automatizar que lo coja de /etc/timezone
-#Only neccesary for libarchive & libtiff if error appears
-ARG TZ=Etc/UTC 
-
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone \
-    && apt-get update --fix-missing \
-    #if errors with libtiff library
-    #&& apt-get install -y wget bzip2 curl git sudo libarchive-dev libtiff5-dev \
-    && apt-get install -y wget bzip2 curl git sudo libarchive-dev libtiff5-dev zsh\
-    #Otherwise
- #   && apt-get install -y wget bzip2 curl git sudo \
-    && apt-get clean  \
-    && rm -rf /var/lib/apt/lists/*
-
-#-- Environmental variables for wandb
-ENV LC_ALL=C.UTF-8 \
-    LANG=C.UTF-8 
-
-########################
-# Create non-root user #
-########################
-ARG username=user\
-    uid=1000 \
-    gid=1000
-ENV USER=$username \
-    UID=$uid \
-    GID=$gid 
-ENV HOME=/home/$USER
-
-#-- Passwordless sudo (TODO: mv to root section)
-RUN addgroup --gid $GID $USER  \
-    && adduser --disabled-password \
-    --gecos "Non-root user" \
-    --uid $UID \
-    --gid $GID \
-    --home $HOME $USER\
-    && echo "$USER ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-#-- Move to user
-USER $USER
-
-# Add the jupyterlab settings
-COPY --chown=$uid:$gid docker/jupyter_config $HOME/.jupyter
-#####################
-# Install miniconda #
-#####################
-
-ENV MINICONDA_VERSION=4.10.3 \ 
-#ENV MINICONDA_VERSION=23.9.0 \ 
-    CONDA_DIR=$HOME/miniconda3 \
-    # Make non-activate conda commands available
-    PATH=$CONDA_DIR/bin:$PATH \
-    PROJECT_DIR=$HOME 
-
-RUN echo "HOME: ${HOME} | CONDA_DIR = ${CONDA_DIR}" \
-    #-- Install MINICONDA
-    && wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py38_$MINICONDA_VERSION-Linux-x86_64.sh -O ~/miniconda.sh  \
-    && chmod +x ~/miniconda.sh  \
-    && ~/miniconda.sh -b -p $CONDA_DIR  \
-    && rm ~/miniconda.sh 
-
-    # Make conda activate command available from /bin/bash --login shells
-RUN echo ". $CONDA_DIR/etc/profile.d/conda.sh" >> ~/.profile 
-    # make conda activate command available from /bin/bash --interative shells
-RUN  conda init bash \
-    # create a project directory inside user home
-    && mkdir -p $PROJECT_DIR
-
-WORKDIR $PROJECT_DIR
-##########################
-# Install & update MAMBA #
-########################## 
-ENV ENV_PREFIX $PROJECT_DIR/env
-RUN conda install --name base --channel conda-forge mamba \
-    && mamba update --name base --channel defaults conda 
-#-- Build the mamba environment
-RUN mamba install conda-lock -c conda-forge
-COPY --chown=$UID:$GID docker/environment.yml docker/requirements.txt /tmp/
-#RUN mamba lock -f /tmp/environment.yml --lockfile /tmp/environment.lock
-#RUN mamba create --prefix ${ENV_PREFIX} --file /tmp/environment.lock
-RUN mamba env create --prefix ${ENV_PREFIX} --file /tmp/environment.yml
-RUN conda clean --all --yes
-
-# run the postBuild script to install the JupyterLab extensions
-COPY --chown=$UID:$GID docker/postBuild /usr/local/bin
-RUN chmod u+x /usr/local/bin/postBuild \
-    && conda activate $ENV_PREFIX  \
-    && /usr/local/bin/postBuild  \
-    && conda deactivate \
-    # Make bash automatically activate the conda environment
-    && echo "conda activate $ENV_PREFIX" >> ~/.bashrc
-RUN chmod u+x /usr/local/bin/postBuild \
-    && conda activate $ENV_PREFIX  \
-    && /usr/local/bin/postBuild  \
-    && conda deactivate \
-    # Make bash automatically activate the conda environment
-    && echo "conda activate $ENV_PREFIX" >> ~/.bashrc
-
-
-#####################################################
-# Install external libraries not available in conda #
-#####################################################
-RUN chmod u+x /usr/local/bin/postBuild \
-    && conda activate $ENV_PREFIX  \
-    && pip install zennit==0.5.1 \
-    && conda deactivate
-
-RUN conda list --prefix ${ENV_PREFIX}
-
-COPY --chown=$UID:$GID docker/entrypoint.sh /usr/local/bin
-RUN chmod u+x /usr/local/bin/entrypoint.sh
-
-
-ENTRYPOINT [ "/usr/local/bin/entrypoint.sh" ]
-
-ARG JUPYTER_TOKEN
-ENV JUPYTER_TOKEN=${JUPYTER_TOKEN}
-# default command will be to launch JupyterLab server for development
-
-CMD ["sh", "-c", "jupyter lab --no-browser --ip 0.0.0.0 --ContentsManager.allow_hidden=True --NotebookApp.token=$JUPYTER_TOKEN"]

docker/Dockerfile.rstudio

@@ -1,83 +0,0 @@
-#############################
-# RSTUDIO-SERVER            #
-# VOLUME DOCKERFILE         #
-#***************************#
-# Set up a jupyter-lab for  #
-# developing using deepvats #
-#############################
-##############
-# Base image #
-##############
-#FROM vrodriguezf/rstudio-server-shiny-development
-# Adds rstudio server, tiyverse, devtools to rocker/cuda
-FROM rocker/ml:4.2
-
-SHELL [ "/bin/bash", "--login", "-c" ]
-
-RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC 
-RUN apt-get update
-RUN apt-get install -y python3-pip
-RUN python3 -m pip install --upgrade pip
-RUN apt-get install -y python3-venv libxt-dev
-## Install R packages
-
-#COPY docker/DESCRIPTION /tmp/
-COPY --chown=${UID}:${GID} docker/DESCRIPTION /tmp/
-
-RUN ls -la /tmp/ && sleep 5
-
-#RUN R -e "install.packages(deps_path = '/tmp/DESCRIPTION', remotes::dev_package_deps(dependencies = TRUE), repos = NULL)"
-
-RUN R -e "devtools::install_deps('/tmp/', dependencies = TRUE)"
-
-#RUN R -e "install.packages(c('shiny', 'pals', 'shinyWidgets', 'dygraphs', 'shinycssloaders', 'shinyjs', 'Rcpp', 'reactlog', 'pals',  'feather', 'fasttime', 'zoo', 'shinyWidgets'))"
-#RUN R -e "remotes::install_github('r-lib/later')"
-#RUN R -e "remotes::install_github('apache/arrow/r')"
-
-## Install reticulate and create virtual environment using default Ubuntu installed Python
-#RUN R -e "install.packages('reticulate')"
-
-ARG USER=user
-ARG UID=1000
-ARG GID=1000
-ENV HOME /home/$USER
-ENV ENV_PREFIX $HOME/env
-
-RUN addgroup --gid $GID $USER
-RUN adduser --disabled-password \
-    --gecos "Non-root user" \
-    --uid $UID \
-    --gid $GID \
-    --home $HOME \
-    $USER
-
-RUN adduser $USER sudo
-RUN echo "$USER ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
-
-
-ARG RETICULATE_MINICONDA_PATH=/usr/local/share/r-miniconda
-ARG RETICULATE_PYTHON_ENV=/usr/virtualenvs/venv_shiny_app
-ENV RETICULATE_PYTHON=${RETICULATE_PYTHON_ENV}/bin/python/
-
-#RUN R -e "reticulate::virtualenv_create(envname='${RETICULATE_PYTHON_ENV}', python='/usr/bin/python3')"
-#RUN R -e "reticulate::virtualenv_install(c('numpy', 'pandas', 'wandb', 'hdbscan'), envname='${RETICULATE_PYTHON_ENV}')"
-
-RUN echo "RETICULATE_PYTHON_ENV=${RETICULATE_PYTHON_ENV}" >> ${HOME}/.Renviron
-RUN echo "RETICULATE_PYTHON=${RETICULATE_PYTHON}" >> ${HOME}/.Renviron
-
-## Export W&B environment variable to Rstudio
-
-ARG WANDB_API_KEY
-RUN echo "WANDB_API_KEY=${WANDB_API_KEY}" >> /${HOME}/.Renviron
-
-# use an entrypoint script to insure conda environment is properly activated at runtime
-
-COPY --chown=${UID}:${GID} docker/entrypoint-rstudio.sh /usr/local/bin
-RUN chmod u+x /usr/local/bin/entrypoint-rstudio.sh
-ENTRYPOINT [ "/usr/local/bin/entrypoint-rstudio.sh" ]
-
-# Rewrite the miniconda path environment in case it has been redefined in the compose file
-RUN echo "RETICULATE_MINICONDA_PATH=${RETICULATE_MINICONDA_PATH}" >> ${HOME}/.Renviron
-
-# make non-activate conda commands available
-ENV PATH=${RETICULATE_MINICONDA_PATH}/bin:${PATH}

docker/dl_module/.devcontainer/.devcontainer.json

@@ -1,62 +0,0 @@
-// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
-// https://github.com/microsoft/vscode-dev-containers/tree/v0.245.0/containers/python-3
-{
-	"name": "Deep Learning Module (backend)",
-    "dockerComposeFile": ["../../docker-compose.yml"],
-    "service": "jupyter",
-    //"workspaceFolder": "/workspace/frontend", // TODO: What does this do?
-	// Configure tool-specific properties.
-	"customizations": {
-		// Configure properties specific to VS Code.
-		"vscode": {
-			// Set *default* container specific settings.json values on container create.
-			"settings": { 
-				"python.defaultInterpreterPath": "/usr/local/bin/python",
-				"python.linting.enabled": true,
-				"python.linting.pylintEnabled": true,
-				"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
-				"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
-				"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
-				"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
-				"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
-				"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
-				"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
-				"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
-				"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
-			},
-			
-			// Add the IDs of extensions you want installed when the container is created.
-			"extensions": [
-				"ms-python.python",
-				"ms-python.vscode-pylance",
-				"ms-toolsai.jupyter",
-				"github.copilot",
-				"genieai.chatgpt-vscode",
-				"run-ai.vscode-genv"
-			]
-		}
-	},
-
-	// Use 'forwardPorts' to make a list of ports inside the container available locally.
-	// "forwardPorts": [],
-
-	// Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
-	"remoteUser": "victor",
-	"features": {
-		"git": "latest",
-		"ghcr.io/meaningful-ooo/devcontainer-features/fish:1": {},
-		"ghcr.io/devcontainers/features/python:1": {
-			"installTools": false, // TODO: Enabling this causes the container to fail to build
-			"installJupyterlab": true
-		}
-        // This should be by default given by the compose file
-		// "ghcr.io/devcontainers/features/nvidia-cuda:1": {
-		// 	"installCudnn": true
-		// }
-	},
-	"runArgs": ["--env-file", "../.env"]
-	//"runArgs": ["--env-file", ".devcontainer/devcontainer.env", "--gpus", "all"] // For machines with GPUs
-
-	// Use 'postCreateCommand' to run commands after the container is created.
-	//"postCreateCommand": "pip install --user -r requirements.txt"
-}

docker/docker-compose.yml

@@ -1,88 +0,0 @@
-services:
-  jupyter:
-    build:
-      args:
-        - username=${USER_NAME}
-        - uid=${USER_ID}
-        - gid=${GROUP_ID}
-        - CUDA_VERSION=12.2.0-devel-ubuntu20.04
-        - JUPYTER_TOKEN=${JUPYTER_TOKEN}
-      context: ../
-      dockerfile: docker/Dockerfile.jupyter
-    image: dvats-jupyter:12.2.0-devel-ubuntu20.04
-    ports:
-      - "${JUPYTER_PORT}:8888"
-    environment:
-      - WANDB_ENTITY=${WANDB_ENTITY}
-      - WANDB_PROJECT=${WANDB_PROJECT}
-      - WANDB_API_KEY=${WANDB_API_KEY}
-      - GH_TOKEN=${GH_TOKEN}
-      - CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES}
-      - WANDB_DIR=/home/${USER_NAME}/work
-      - JUPYTER_TOKEN=${JUPYTER_TOKEN}
-    volumes:
-      - ../:/home/${USER}/work
-      - ${LOCAL_DATA_PATH}:/home/${USER_NAME}/data/
-      - conda-env:/home/${USER_NAME}/env
-      - miniconda:/home/${USER_NAME}/miniconda3
-      - lib:/home/${USER_NAME}/lib
-    init: true
-    stdin_open: true
-    tty: true
-    deploy:
-      resources:
-        reservations:          
-          devices:
-            - driver: nvidia
-              count: all
-              capabilities: [gpu]
-            
-  rstudio-server:
-      build:
-          context: ../
-          dockerfile: docker/Dockerfile.rstudio
-          args:
-              - WANDB_API_KEY=${WANDB_API_KEY} #
-              - RETICULATE_PYTHON_ENV=/home/${USER_NAME}/env
-              - RETICULATE_MINICONDA_PATH=/home/${USER_NAME}/miniconda3
-              - USER=${USER_NAME} #* 
-              - UID=${USER_ID} #*
-              - GID=${GROUP_ID} #*
-      image: dvats-r:rocker-ml_4.2
-      ports:
-          - "${RSTUDIO_PORT}:8787" #*
-      environment:
-          - WANDB_ENTITY=${WANDB_ENTITY}
-          - WANDB_PROJECT=${WANDB_PROJECT}
-          - USER=${USER_NAME} #* 
-          - USERID=${USER_ID} #*
-          - GROUPID=${GROUP_ID} #*
-          - PASSWORD=${RSTUDIO_PASSWD} #*
-          - ROOT=FALSE
-          - CUDA_VISIBLE_DEVICES=0,1,2
-          #- CUDA_VISIBLE_DEVICES=1
-            #          - CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES}
-          - GH_TOKEN=${GH_TOKEN} #*
-          # TODO (28/03/2023): I don't know why it is not working without this
-          - ENV_VARS=WANDB_ENTITY,WANDB_PROJECT,USER,USERID,GROUPID,PASSWORD,ROOT,CUDA_VISIBLE_DEVICES
-      volumes:
-         - ../r_shiny_app:/home/${USER_NAME}/app #*
-         - ${LOCAL_DATA_PATH}:/home/${USER_NAME}/data/ #*
-         - ../dvats:/home/${USER_NAME}/dvats
-         - conda-env:/home/${USER_NAME}/env
-         - miniconda:/home/${USER_NAME}/miniconda3 #:ro
-         - lib:/home/${USER_NAME}/lib
-      deploy:
-        resources:
-          #limits:
-            #cpus: '0.75'
-          reservations:
-            devices:
-              - driver: nvidia
-                count: all
-                capabilities: [gpu]
-
-volumes:
-  conda-env:
-  miniconda:
-  lib:

docker/entrypoint-rstudio.sh

@@ -1,25 +0,0 @@
-#!/bin/bash --login
-set -e
-
-echo ". ${HOME}/miniconda3/etc/profile.d/conda.sh" >> ${HOME}/.bashrc
-# Make bash automatically activate the conda environment
-echo "conda activate ${ENV_PREFIX}" >> ~/.bashrc
-#echo "export WANDB_ENTITY=${WANDB_ENTITY:-default}" >> ${HOME}/.bashrc
-# echo "WANDB_ENTITY=${WANDB_ENTITY:-default}" >> ${HOME}/.Renviron
-
-# Define an array of environment variable names from the ENV_VARS Compose variable
-IFS=',' read -ra ENV_VAR_NAMES <<< "$ENV_VARS"
-
-echo "ENV_VAR_NAMES=${ENV_VAR_NAMES[@]}"
-
-# Loop through the array of environment variable names and set the variables
-for ENV_VAR_NAME in "${ENV_VAR_NAMES[@]}"; do
-  ENV_VAR_VALUE="${!ENV_VAR_NAME:-default}"
-  echo "$ENV_VAR_NAME=$ENV_VAR_VALUE" >> ${HOME}/.Renviron
-done
-
-ulimit -s 16384
-
-# start rstudio server
-/init
-exec "$@"

docker/entrypoint.sh

@@ -1,10 +0,0 @@
-#!/bin/bash --login
-set -e
-echo $ENV_PREFIX
-conda activate $ENV_PREFIX
-conda list 
-pip install -e /home/$USER/work
-
-
-
-exec "$@"

docker/environment.yml

@@ -1,73 +0,0 @@
-name: dvats_env
-channels:
-  #--- Torch & Cuda
-  - pytorch
-  #- nvidia/label/cuda-12.2.0
-  - nvidia
-  #--- Generic
-  - conda-forge
-  - defaults
-  #--- AI
-  - fastai
-  - rapidsai
-  - defaults  
-  - conda-forge
-
-  - timeseriesai
-dependencies:
-  ##########################
-  # Generic configurations #
-  ##########################
-  - nano=7.2=h8228510_0
-  - git=2.42.0=pl5321h86e50cf_0
-  #--- github
-  - gh=2.37.0=ha8f183a_0
-  #--- Python
-  - python=3.10.13=hd12c33a_0_cpython
-  #WANDB <= 0.15.12 needs this version. See https://github.com/wandb/wandb/issues/6546
-  - ipython=8.16.1=pyh0d859eb_0
-  - pip=23.3.1=pyhd8ed1ab_0
-  - conda-forge::twine=4.0.2=pyhd8ed1ab_0
-  - conda-forge::xeus-python=0.15.10=py310hd41b1e2_1
-  #--- NodeJS
-  - conda-forge::nodejs=20.8.1=h1990674_0
-  #---Jupyter
-  - conda-forge::ipywidgets=8.1.1=pyhd8ed1ab_0
-  - conda-forge::jupyterlab=4.0.7=pyhd8ed1ab_0
-  - conda-forge::jupyterlab-git=0.41.0=pyhd8ed1ab_1
-  - conda-forge::nbclassic=1.0.0=pyhb4ecaf3_1
-  - conda-forge::nbdev=2.2.10=pyhd8ed1ab_0
-  - nbformat>=5.1.3
-  #--- passwords & files
-  - keyrings.alt
-  - platformdirs=2.5.2
-  - conda-forge::keyrings.alt=4.2.0=pyhd8ed1ab_0
-  - psutil>=5.4.8 
-  ##############
-  # CUDA & GPU #
-  ##############
-  - nvidia::cuda-toolkit=11.6=0
-  - rapidsai::cudf=23.02=cuda_11_py310_g5ad4a85b9d_0
-  - rapidsai::cuml=23.02=cuda11_py310_g3356f05bd_0
-  - conda-forge::genv=1.2.0=pyhd8ed1ab_0
-  ############
-  # Specific #
-  ############
-  #--- Torch
-  - pytorch=1.13=py3.10_cuda11.7_cudnn8.5.0_0
-  #---Graphs & imgs
-  - conda-forge::plotly=5.18.0=pyhd8ed1ab_0
-  - conda-forge::jpeg=9e=h166bdaf_2
-  - conda-forge::seaborn=0.13.0=hd8ed1ab_0
-  - conda-forge::matplotlib=3.8.1=py310hff52083_0
-  #--- IA
-  - conda-forge::hdbscan=0.8.33=py310h1f7b6fc_4
-  - conda-forge::imbalanced-learn>= 0.8.0
-  - conda-forge::pyts >= 0.12.0
-  - conda-forge::umap-learn=0.5.4=py310hff52083_0
-  - conda-forge::scikit-learn=1.2.2=py310hf7d194e_2
-  - conda-forge::wandb=0.14.2=pyhd8ed1ab_0
-  - fastai::fastai>=2.7.9
-  - timeseriesai::tsai
-  - conda-forge::feather-format
-  - conda-forge::python-kaleido #0.2.1

docker/get_jupyter_token.sh

@@ -1,7 +0,0 @@
-#Para obtener url si no va la contraseña del token
-ip="127.0.0.1"
-port=$(hostname | sed -e "s/.*-//")
-nombre=$port".etsisi.upm.es"
-puerto_original="8888"
-puerto_final="8866"
-docker compose logs jupyter | grep "token=" | tail -n 1 | sed -e "s/$ip/$nombre/" -e "s/$puerto_original/$puerto_final/" | sed "s/.*\(http\)/\1/"

docker/ipython_config.py

@@ -1 +0,0 @@
-c.Completer.use_jedi = False

docker/jupyter_config/lab/user-settings/@jupyterlab/notebook-extension/tracker.jupyterlab-settings

@@ -1,5 +0,0 @@
-{
-    "codeCellConfig": {
-        "rulers": [80]
-    }
-}

docker/jupyter_config/lab/user-settings/@jupyterlab/shortcuts-extension/shortcuts.jupyterlab-settings

@@ -1,90 +0,0 @@
-{
-  "shortcuts": [
-    {
-      "command": "quickopen:activate",
-      "keys": [
-        "Accel ."
-      ],
-      "selector": "body",
-      "title": "Activate Quick Open",
-      "category": "Main Area"
-    },
-    {
-        "command": "application:activate-next-tab",
-        "keys": [
-                "Alt ArrowRight"
-            ],
-            "selector": "body"
-    },
-    {
-        "command": "application:activate-previous-tab",
-        "keys": [
-                "Alt ArrowLeft"
-            ],
-            "selector": "body"
-    },
-    {
-        "command": "notebook:run-all-above",
-        "keys": [
-            "Accel F8"
-        ],
-        "selector": ".jp-Notebook:focus"
-    },
-    {
-        "command": "notebook:run-all-below",
-        "keys": [
-            "Accel F10"
-        ],
-        "selector": ".jp-Notebook:focus"
-    },
-    {
-        "command": "notebook:run-all-cells",
-        "keys": [
-            "Accel F9"
-        ],
-        "selector": ".jp-Notebook:focus"
-    },
-    {
-        "command": "kernelmenu:restart-and-clear",
-        "keys": [
-            "0 0"
-        ],
-        "selector": "[data-jp-kernel-user]:focus"
-    },
-      {
-        "command": "notebook:clear-cell-output",
-        "keys": [
-            "Accel o"
-        ],
-        "selector": ".jp-Notebook:focus"
-    },
-           {
-            "command": "console:run-forced",
-            "keys": [
-                "Enter"
-            ],
-            "selector": ".jp-CodeConsole[data-jp-interaction-mode='notebook'] .jp-CodeConsole-promptCell"
-        },
-        {
-            "command": "console:run-forced",
-            "keys": [
-                "Enter"
-            ],
-            "selector": ".jp-CodeConsole[data-jp-interaction-mode='terminal'] .jp-CodeConsole-promptCell"
-        },
-              {
-            "command": "console:linebreak",
-            "keys": [
-                "Accel Enter"
-            ],
-            "selector": ".jp-CodeConsole[data-jp-interaction-mode='notebook'] .jp-CodeConsole-promptCell"
-        },
-        {
-            "command": "console:linebreak",
-            "keys": [
-                "Accel Enter"
-            ],
-            "selector": ".jp-CodeConsole[data-jp-interaction-mode='terminal'] .jp-CodeConsole-promptCell"
-        }
-  ]
-}

docker/jupyter_config/lab/user-settings/@parente/jupyterlab-quickopen/plugin.jupyterlab-settings

@@ -1,23 +0,0 @@
-{
-    // Quick Open
-    // @parente/jupyterlab-quickopen:plugin
-    // Quick open panel settings
-    // ************************************
-
-    // Exclude Patterns
-    // File and directory patterns to exclude from the list
-    "excludes": [
-        "env",
-        "miniconda3",
-        "data",
-        "wandb",
-        ".*",
-        "node_modules",
-        "__pycache__",
-        "*.egg-info"
-    ],
-
-    // Relative Search
-    // Whether to search from currently selected directory
-    "relativeSearch": false
-}

docker/port

@@ -1 +0,0 @@
-g4

docker/postBuild

@@ -1 +0,0 @@
-#jupyter lab build --dev-build=False --minimize=False

docker/requirements.txt

@@ -1 +0,0 @@
-

requirements.txt

@@ -0,0 +1,3 @@
+gradio==3.23.0
+uvicorn
+fastapi

run.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+service nginx start
+python -m http.server --directory ./static --bind 0.0.0.0 8000 & echo $! > http_server.pid
+uvicorn "app:app" --port 7860 --host 0.0.0.0
+pkill -F http_server.pid
+rm http_server.pid

static/index.html

@@ -0,0 +1 @@
+hello