Dockerfile

FROM debian:11

# Variables de entorno
#Variables a modificar
ENV TOKEN="jipsuljWyQrQNHoqfjDupxdLvSmlHInmNN"
ENV MODEL_TO_CONVERT="cognitivecomputations/dolphin-2.5-mixtral-8x7b"
ENV DEST_REPO="HirCoir/dolphin-2.5-mixtral-8x7b-GGUF"

ENV REPO="https://github.com/ggerganov/llama.cpp"
ENV PREFIX="hf_"
ENV TOKEN_CONCATENADO="${PREFIX}${TOKEN}"
ENV MODEL_DIR="/model"
ENV MODEL_FILES="${MODEL_DIR}/*.gguf"
# Agrega un usuario no root
RUN useradd -m -u 1000 app
# Establece el directorio de trabajo dentro del contenedor
WORKDIR /home/app

RUN apt update
RUN apt install -y \
    make \
    cmake \
    clang \
    gcc \
    git \
    curl \
    sudo \
    python3-dev \
    python3 \
    python3-pip \
    python3-venv \
    git espeak-ng
    
WORKDIR /root
RUN git clone https://github.com/rhasspy/piper
RUN pip install -q cython>=0.29.0 espeak-phonemizer>=1.1.0 librosa>=0.9.2 numpy>=1.19.0 pytorch-lightning~=1.7.0 torch~=1.11.0
RUN pip install -q onnx onnxruntime
RUN pip install -q torchtext==0.12.0

WORKDIR /root/piper/src/python
RUN bash build_monotonic_align.sh
RUN pip install -q torchaudio==0.11.0 torchmetrics==0.11.4
RUN pip install --upgrade gdown
RUN apt install -y zip unzip wget curl
RUN pip install -U "huggingface_hub[cli]"

# Descarga del modelo en la carpeta especificada
RUN huggingface-cli download ${MODEL_TO_CONVERT} --local-dir ${MODEL_DIR}
RUN ls; sleep 30