Dockerfile

# CUDA 12.1 runtime (torch==2.5.1+cu121 ile uyumlu)
FROM nvidia/cuda:12.1.1-runtime-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive \
    PYTHONUNBUFFERED=1

# System deps: Python, FFmpeg, GL, git, ca-certs
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3 python3-pip python3-venv \
    ffmpeg \
    libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 \
    git ca-certificates \
 && rm -rf /var/lib/apt/lists/*

# python/pip alias
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1 && \
    update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1

# Non-root kullanıcı
RUN useradd -m -u 1000 -s /bin/bash appuser
WORKDIR /app

# Python deps (senin pinlerin)
COPY requirements.txt /app/requirements.txt

# PyTorch CUDA 12.1 wheels index
ENV PIP_NO_CACHE_DIR=1 \
    PIP_EXTRA_INDEX_URL=https://download.pytorch.org/whl/cu121

RUN pip install --upgrade pip && \
    pip install --no-cache-dir -r /app/requirements.txt

# Uygulama
COPY app.py /app/app.py

# HF cache -> non-root HOME (dokümana uygun yollar)
ENV HOME=/home/appuser \
    HF_HOME=/home/appuser/.cache/huggingface \
    TRANSFORMERS_CACHE=/home/appuser/.cache/huggingface/transformers \
    HUGGINGFACE_HUB_CACHE=/home/appuser/.cache/huggingface/hub \
    HF_HUB_ENABLE_HF_TRANSFER=0

# Sahiplik
RUN mkdir -p /home/appuser/.cache/huggingface/transformers /home/appuser/.cache/huggingface/hub && \
    chown -R appuser:appuser /home/appuser/.cache /app

# Streamlit (Docker Spaces $PORT kullanır)
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0 \
    STREAMLIT_BROWSER_GATHER_USAGE_STATS=false

EXPOSE 7860

# Non-root ile çalış
USER appuser

CMD bash -lc '\
  streamlit run /app/app.py \
    --server.port=${PORT:-7860} \
    --server.address=0.0.0.0 \
    --browser.gatherUsageStats=false'