Initial commit: Productionized Swarm with Docker support

swarm-control/indra-tts-server/Dockerfile

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+FROM nvidia/cuda:12.4.1-devel-ubuntu22.04
+
+# Prevent interactive prompts
+ENV DEBIAN_FRONTEND=noninteractive
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+
+# 1. Install Python 3.12 and SoX dependencies
+RUN apt-get update && apt-get install -y software-properties-common && \
+    add-apt-repository ppa:deadsnakes/ppa -y && \
+    apt-get update && apt-get install -y \
+    python3.12 \
+    python3.12-dev \
+    curl \
+    git \
+    libsndfile1 \
+    ffmpeg \
+    sox \
+    libsox-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# 2. Use the official bootstrap to install a clean Pip for 3.12
+RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.12
+
+WORKDIR /app
+
+# 3. Explicitly install BOTH torch and torchaudio from the cu124 index
+RUN python3.12 -m pip install --no-cache-dir torch==2.6.0 torchaudio --index-url https://download.pytorch.org/whl/cu124
+RUN python3.12 -m pip install --no-cache-dir fastapi uvicorn numpy soundfile
+
+# 4. Install the local Qwen3-TTS requirements
+RUN python3.12 -m pip install --no-cache-dir faster-qwen3-tts
+
+COPY tts-server.py .
+
+EXPOSE 8002
+CMD ["python3.12", "tts-server.py"]