support nano vllm docker

Dockerfile

@@ -0,0 +1,45 @@
+# Use official Python image with CUDA support for HuggingFace Space
+FROM python:3.11-slim
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+ENV GRADIO_SERVER_NAME=0.0.0.0
+ENV GRADIO_SERVER_PORT=7860
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    ffmpeg \
+    libsndfile1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create non-root user for HuggingFace Space
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user
+ENV PATH=/home/user/.local/bin:$PATH
+
+# Set working directory
+WORKDIR $HOME/app
+
+# Copy requirements first for better caching
+COPY --chown=user:user requirements.txt .
+
+# Copy the local nano-vllm package
+COPY --chown=user:user acestep/third_parts/nano-vllm $HOME/app/acestep/third_parts/nano-vllm
+
+# Install nano-vllm first (local package)
+RUN pip install --no-cache-dir --user $HOME/app/acestep/third_parts/nano-vllm
+
+# Install remaining dependencies
+RUN pip install --no-cache-dir --user -r requirements.txt
+
+# Copy the rest of the application
+COPY --chown=user:user . .
+
+# Expose port
+EXPOSE 7860
+
+# Run the application
+CMD ["python", "app.py"]

README.md

@@ -3,10 +3,8 @@ title: ACE-Step v1.5
 emoji: 🎵
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: 6.2.0
-python_version: 3.11
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
 license: mit
 short_description: Music Generation Foundation Model v1.5

requirements.txt

@@ -7,9 +7,6 @@ torch>=2.9.1; sys_platform != 'win32'
 torchaudio>=2.9.1; sys_platform != 'win32'
 torchvision; sys_platform != 'win32'
 
-# Local packages (must be installed before other dependencies that might use them)
-./acestep/third_parts/nano-vllm
-
 # Core dependencies
 transformers>=4.51.0
 diffusers