Fix Dockerfile, make it more convenient and efficient

[bitplane]

• Fix env variable bugs that stopped it from building
• Put the data in docker_data, which is excluded via .gitignore and .dockerignore
• Add a script to build and run docker
• Update README.md so it doesn't tell people to mount from /root; make it work from here.
• Rearrange the steps so we don't need to wait for a full conda or apt update every time there's a source code change
• Clean up conda after installing, to help keep image sizes down (saves 2gb)
• Split out the requirements.txt and do pip install -r before adding the code, so we only download from pypi when there's a change to the python deps.
• Don't use a cache dir for pip, so no junk is created that needs to be cleaned up
• add the conda activate and cd app part in root's .bashrc so it's ready to go when you log in
• Exclude *.pyc files and build dirs from the Docker build context, in case the user has been running things outside docker

[JonasGruenwald]

Thanks for fixing the Dockerfile! Was looking for this because of the env variable issues.
With the current Dockerfile from your PR, I'm getting an interactive Proceed ([y]/n)? prompt at this step:

RUN conda create --name tortoise python=3.9 numba inflect \
    && conda activate tortoise \
    && conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia \
    && conda install transformers=4.29.2 \
    && conda clean --all \
    && echo "conda activate tortoise; cd /app" >> "${HOME}/.bashrc"

Because the commands are all stringed together in a single shell list, I can't really tell which command is going interactive, but it's not create (I checked), so it must be one of the installs or clean.
Anyways I suggest adding -y to those commands to avoid this issue, it worked for me:

RUN conda create -y --name tortoise python=3.9 numba inflect \
    && conda activate tortoise \
    && conda install -y pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia \
    && conda install -y transformers=4.29.2 \
    && conda clean -y --all \
    && echo "conda activate tortoise; cd /app" >> "${HOME}/.bashrc"

[JonasGruenwald]

Also, I had to install the NVIDIA container toolkit to be able tor run the image with the --gpus flag, maybe this could be added to the Readme

https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html

[manmay-nakhashi]

@bitplane is this working properly ?
can somelese confirms this ?