Dockerfile

FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-runtime

SHELL ["/bin/bash", "-c"]

# Environment variables for Hugging Face cache
ENV HF_HOME=/app/hf_cache
ENV TRANSFORMERS_CACHE=/app/hf_cache
ENV HF_TOKEN=${HF_TOKEN}
ENV PATH=/opt/conda/bin:$PATH
# Install system dependencies
RUN apt-get update && apt-get install -y \
    git wget curl unzip ffmpeg libgl1-mesa-glx libglib2.0-0 && \
    apt-get clean

# Set up working directory as /app
WORKDIR /app

# Copy project into /app
COPY . /app

# Fix permissions for all subdirectories
RUN mkdir -p /app/pretrained /app/hf_cache /.cache/gdown && \
    chmod -R 777 /app && \
    chmod -R 777 /.cache && \
    chmod -R 777 /root

# Create conda environment and install dependencies
COPY requirements.txt /app/requirements.txt
RUN conda create -n realcam python=3.10 -y && \
    conda run -n realcam pip install --upgrade pip && \
    conda run -n realcam conda install ffmpeg=7 -c conda-forge && \
    conda install pytorch==2.6 torchvision -c pytorch -c nvidia

    conda run -n realcam pip install -r /app/requirements.txt

RUN chmod -R 777 /app /workspace

# # List contents (for debug)
RUN ls -la /app
RUN pip install gradio

# Expose Gradio default port
EXPOSE 7860

# Start the Gradio app
CMD ["conda", "run", "--no-capture-output", "-n", "realcam", "python", "finetune/gradio_app.py"]