Dockerfile

# Use a lighter base if you don't actually need CUDA; otherwise, keep this.
FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu22.04

# 1. Install System Dependencies (Added curl, git, and build-essentials)
USER root
RUN apt-get update && apt-get install -y \
    python3 \
    python3-pip \
    curl \
    git \
    sudo \
    build-essential \
    libssl-dev \
    libffi-dev \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# 2. Create non-root user (Hugging Face requirement)
RUN adduser --disabled-password --gecos '' user
RUN mkdir -p /home/user/app && chown -R user:user /home/user/app

# Set environment variables
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONUNBUFFERED=1

WORKDIR $HOME/app

# 3. Setup Python Environment
# Using a virtual environment is lighter than Miniconda for a single-purpose bot
USER user
RUN python3 -m pip install --upgrade pip

# 4. Copy Files and Set Permissions
# Copy everything into the WORKDIR (/home/user/app)
COPY --chown=user:user . .

# 5. Install Python Requirements
# Note: Ensure 'telethon' and 'cryptography' are in reqs.txt
RUN pip install --no-cache-dir redis fastapi nest-asyncio uvicorn
RUN pip install --no-cache-dir -r reqs.txt || true

# 6. Create Persistent Directories inside WORKDIR
# Using local paths instead of /app to ensure write permissions
RUN mkdir -p sessions downloads && chmod -R 777 sessions downloads

# 7. Final Script Setup
RUN chmod +x start.sh

# Hugging Face Spaces port
EXPOSE 7860

ENTRYPOINT ["./start.sh"]