Split torch install first to avoid memory peak

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10-slim
+FROM python:3.11-slim-bookworm
 
 ENV DEBIAN_FRONTEND=noninteractive
 ENV PIP_NO_CACHE_DIR=1
@@ -14,7 +14,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 
 WORKDIR /app
 
-# Install minimal Python dependencies in one go
+# Install torch first (largest package)
+RUN pip install --no-cache-dir --timeout=300 \
+    torch==2.4.1+cpu torchaudio==2.4.1+cpu \
+    --index-url https://download.pytorch.org/whl/cpu
+
+# Install remaining dependencies
 COPY requirements.txt .
 RUN pip install --no-cache-dir --timeout=300 -r requirements.txt
 

requirements.txt

@@ -1,8 +1,4 @@
-# Minimal RVC inference dependencies
-torch==2.4.1+cpu
-torchaudio==2.4.1+cpu
---index-url https://download.pytorch.org/whl/cpu
-
+# Minimal RVC inference dependencies (torch/torchaudio installed separately)
 numpy>=1.24.0,<2
 scipy>=1.10.0,<2
 librosa>=0.10.0,<0.11