File size: 1,466 Bytes
67b0de8 242e773 e7ef98a 242e773 f0b9c26 242e773 8eb613e f0b9c26 242e773 e7ef98a 242e773 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | FROM python:3.10-slim
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
CUDA_VISIBLE_DEVICES="" \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_SERVER_PORT=7860
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
libsndfile1 \
git \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt .
RUN pip install --upgrade pip setuptools wheel && \
pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu torch torchaudio && \
pip install --no-cache-dir -r requirements.txt
# ===== PATCH chatterbox agar torch.load selalu ke CPU =====
RUN python - <<'PY'
import os, re, pathlib
import chatterbox
base = pathlib.Path(chatterbox.__file__).resolve().parent
print("Patching chatterbox at:", base)
patched = 0
for py in base.rglob("*.py"):
txt = py.read_text(encoding="utf-8", errors="ignore")
# ganti torch.load(...) -> torch.load(..., map_location="cpu")
def repl(m):
inside = m.group(1)
if "map_location" in inside:
return f"torch.load({inside})"
return f'torch.load({inside}, map_location="cpu")'
new = re.sub(r"torch\.load\(([^)]*)\)", repl, txt)
if new != txt:
py.write_text(new, encoding="utf-8")
patched += 1
print("patched:", py)
print("Total patched files:", patched)
PY
# ===========================================
COPY . .
EXPOSE 7860
CMD ["python", "app.py"] |