Merge pull request #114 from needabetterusername/implement-69-clean

Dockerfile

@@ -0,0 +1,82 @@
+FROM nvidia/cuda:12.8.1-cudnn-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+ARG EXTRAS
+ARG HF_PRECACHE_DIR
+ARG HF_TKN_FILE
+
+# Install system dependencies
+#RUN apt-get update && \
+#    apt-get install -y ffmpeg git && \
+#    apt-get clean && \
+#    rm -rf /var/lib/apt/lists/*
+
+# 2) Install system dependencies + Python + pip
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        python3 \
+        python3-pip \
+        ffmpeg \
+        git && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+COPY . .
+
+# Install WhisperLiveKit directly, allowing for optional dependencies
+#   Note: For gates modedls, need to add your HF toke. See README.md
+#         for more details.
+RUN if [ -n "$EXTRAS" ]; then \
+      echo "Installing with extras: [$EXTRAS]"; \
+      pip install --no-cache-dir .[$EXTRAS]; \
+    else \
+      echo "Installing base package only"; \
+      pip install --no-cache-dir .; \
+    fi
+
+# Enable in-container caching for Hugging Face models by: 
+# Note: If running multiple containers, better to map a shared
+# bucket. 
+#
+# A) Make the cache directory persistent via an anonymous volume.
+#    Note: This only persists for a single, named container. This is 
+#          only for convenience at de/test stage. 
+#          For prod, it is better to use a named volume via host mount/k8s.
+VOLUME ["/root/.cache/huggingface/hub"]
+
+# or
+# B) Conditionally copy a local pre-cache from the build context to the 
+#    container's cache via the HF_PRECACHE_DIR build-arg.
+#    WARNING: This will copy ALL files in the pre-cache location.
+
+# Conditionally copy a cache directory if provided
+RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
+      echo "Copying Hugging Face cache from $HF_PRECACHE_DIR"; \
+      mkdir -p /root/.cache/huggingface/hub && \
+      cp -r $HF_PRECACHE_DIR/* /root/.cache/huggingface/hub; \
+    else \
+      echo "No local Hugging Face cache specified, skipping copy"; \
+    fi
+
+# Conditionally copy a Hugging Face token if provided
+
+RUN if [ -n "$HF_TKN_FILE" ]; then \
+      echo "Copying Hugging Face token from $HF_TKN_FILE"; \
+      mkdir -p /root/.cache/huggingface && \
+      cp $HF_TKN_FILE /root/.cache/huggingface/token; \
+    else \
+      echo "No Hugging Face token file specified, skipping token setup"; \
+    fi
+    
+# Expose port for the transcription server
+EXPOSE 8000
+
+ENTRYPOINT ["whisperlivekit-server", "--host", "0.0.0.0"]
+
+# Default args
+CMD ["--model", "tiny.en"]

README.md

@@ -250,6 +250,35 @@ To deploy WhisperLiveKit in production:
 
 4. **HTTPS Support**: For secure deployments, use "wss://" instead of "ws://" in WebSocket URL
 
+### 🐋 Docker
+
+A basic Dockerfile is provided which allows re-use of python package installation options. See below useage examples:
+
+***NOTE:** For **larger** models, ensure that your **docker runtime** has enough **memory** available.*
+
+#### All defaults
+- Create a reuseable image with only the basics and then run as a named container.
+```bash
+docker build -t whisperlivekit-defaults .
+docker create --gpus all --name whisperlivekit -p 8000:8000 whisperlivekit-defaults
+docker start -i whisperlivekit
+```
+
+> **Note**: If you're running on a system without NVIDIA GPU support (such as Mac with Apple Silicon or any system without CUDA capabilities), you need to **remove the `--gpus all` flag** from the `docker create` command. Without GPU acceleration, transcription will use CPU only, which may be significantly slower. Consider using small models for better performance on CPU-only systems.
+
+#### Customization
+- Customise the container options.
+```bash
+docker build -t whisperlivekit-defaults .
+docker create --gpus all --name whisperlivekit-base -p 8000:8000 whisperlivekit-defaults --model base
+docker start -i whisperlivekit-base
+```
+
+- `--build-arg` Options
+  - `EXTRAS="whisper-timestamped"` - Add extras to the image's installation (no spaces). Remember to set necessary container options!
+  - `HF_PRECACHE_DIR=./.cache/` - Pre-load a model cache for faster first-time start
+  - `HF_TOKEN=./token` - Add your Hugging Face Hub access token to download gated models
+
 ## 🔮 Use Cases
 
 - **Meeting Transcription**: Capture discussions in real-time