Create Dockerfile

Dockerfile

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+FROM nvidia/cuda:12.2.0-base-ubuntu22.04
+
+COPY . /app
+
+RUN apt-get update && \
+    apt-get install -y --allow-unauthenticated --no-install-recommends \
+    wget \
+    git \
+    && apt-get autoremove -y \
+    && apt-get clean -y \
+    && rm -rf /var/lib/apt/lists/*
+
+ENV HOME "/root"
+ENV CONDA_DIR "${HOME}/miniconda"
+ENV PATH="$CONDA_DIR/bin":$PATH
+ENV CONDA_AUTO_UPDATE_CONDA=false
+ENV PIP_DOWNLOAD_CACHE="$HOME/.pip/cache"
+ENV TORTOISE_MODELS_DIR
+
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda3.sh \
+    && bash /tmp/miniconda3.sh -b -p "${CONDA_DIR}" -f -u \
+    && "${CONDA_DIR}/bin/conda" init bash \
+    && rm -f /tmp/miniconda3.sh \
+    && echo ". '${CONDA_DIR}/etc/profile.d/conda.sh'" >> "${HOME}/.profile"
+
+# --login option used to source bashrc (thus activating conda env) at every RUN statement
+SHELL ["/bin/bash", "--login", "-c"]
+
+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 \
+    && cd /app \
+    && python setup.py install