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# Loading base. I'm using Debian, u can use whatever u want. | |
FROM python:3.11.5-slim-bookworm | |
# Just for sure everything will be fine. | |
USER root | |
# Installing gcc compiler and main library. | |
RUN apt update && apt install gcc cmake build-essential -y | |
RUN CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip install llama-cpp-python | |
# Copying files into folder and making it working dir. | |
RUN mkdir app | |
COPY . /app | |
RUN chmod -R 777 /app | |
WORKDIR /app | |
# Making dir for translator model (facebook/m2m100_1.2B) | |
RUN mkdir translator | |
RUN chmod -R 777 translator | |
# Installing wget and downloading model. | |
RUN apt install wget -y | |
RUN wget -q -O model.bin https://huggingface.co/TheBloke/Llama-2-13B-chat-GGUF/resolve/main/llama-2-13b-chat.Q5_K_M.gguf | |
RUN ls | |
# You can use other models! Or u can comment this two RUNs and include in Space/repo/Docker image own model with name "model.bin". | |
# Updating pip and installing everything from requirements | |
RUN python3 -m pip install -U --no-cache-dir pip setuptools wheel | |
RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt | |
# Now it's time to run Quart app using uvicorn! (It's faster, trust me.) | |
CMD ["gradio", "gradio_app.py"] |