add dockerfile

Dockerfile

@@ -0,0 +1,31 @@
+FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-devel
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    libportaudio2 \
+    libportaudiocpp0 \
+    portaudio19-dev \
+    libasound-dev \
+    libsndfile1-dev \
+    kmod \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Update pip first
+RUN pip install --upgrade pip setuptools wheel
+
+# Install base requirements first
+RUN pip install numpy==1.26.4
+
+# Install vLLM with CUDA 12.1 support
+RUN pip install vllm==0.6.4.post1 \
+    --extra-index-url https://pypi.nvidia.com \
+    --extra-index-url https://download.pytorch.org/whl/cu121
+
+COPY . .
+RUN pip install -r requirements.txt
+
+EXPOSE 7860
+CMD ["python", "app.py"]

requirements.txt

@@ -1,5 +1,36 @@
 # This file was autogenerated by uv via the following command:
 #    uv pip compile --output-file requirements.txt pyproject.toml
+numpy==1.26.4
+    # via
+    #   auralis
+    #   blis
+    #   datasets
+    #   gguf
+    #   gradio
+    #   langid
+    #   librosa
+    #   mistral-common
+    #   numba
+    #   opencv-python-headless
+    #   outlines
+    #   pandas
+    #   pyloudnorm
+    #   scikit-learn
+    #   scipy
+    #   soundfile
+    #   soxr
+    #   spacy
+    #   thinc
+    #   torchvision
+    #   transformers
+    #   vllm
+torch==2.5.1
+    # via
+    #   auralis-tts (pyproject.toml)
+    #   compressed-tensors
+    #   torchaudio
+    #   torchvision
+    #   vllm
 aiofiles==23.2.1
     # via
     #   auralis
@@ -322,30 +353,6 @@ numba==0.61.0
     # via
     #   librosa
     #   outlines
-numpy==1.26.4
-    # via
-    #   auralis
-    #   blis
-    #   datasets
-    #   gguf
-    #   gradio
-    #   langid
-    #   librosa
-    #   mistral-common
-    #   numba
-    #   opencv-python-headless
-    #   outlines
-    #   pandas
-    #   pyloudnorm
-    #   scikit-learn
-    #   scipy
-    #   soundfile
-    #   soxr
-    #   spacy
-    #   thinc
-    #   torchvision
-    #   transformers
-    #   vllm
 nvidia-ml-py==12.570.86
     # via
     #   auralis
@@ -634,13 +641,6 @@ tomli==2.2.1
     # via pytest
 tomlkit==0.13.2
     # via gradio
-torch==2.5.1
-    # via
-    #   auralis-tts (pyproject.toml)
-    #   compressed-tensors
-    #   torchaudio
-    #   torchvision
-    #   vllm
 torchaudio==2.5.1
     # via
     #   auralis-tts (pyproject.toml)
@@ -714,8 +714,6 @@ uvicorn==0.34.0
     #   vllm
 uvloop==0.21.0
     # via uvicorn
-vllm==0.6.4.post1
-    # via auralis
 wasabi==0.10.1
     # via
     #   spacy