Speed up builds, mocking large packages
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@@ -2,7 +2,7 @@
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# Build docs using uv
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echo "Installing dependencies with uv..."
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uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer
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uv sync --group docs --all-extras --no-extra krisp --no-extra gstreamer --no-extra ultravox --no-extra local_smart_turn --no-extra moondream --no-extra riva --no-extra mlx-whisper
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# Check if sphinx-build is available
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if ! uv run sphinx-build --version &> /dev/null; then
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@@ -45,7 +45,7 @@ autodoc_default_options = {
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"show-inheritance": True,
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}
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# Mock imports for problematic dependencies only
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# Mock imports for optional dependencies
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autodoc_mock_imports = [
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# Krisp - has build issues on some platforms
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"pipecat_ai_krisp",
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@@ -54,10 +54,45 @@ autodoc_mock_imports = [
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"_tkinter",
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"tkinter",
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# Platform-specific audio libraries (if needed)
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# gstreamer
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"gi",
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"gi.require_version",
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"gi.repository",
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# OpenCV - sometimes has import issues during docs build
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"cv2",
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# Heavy ML packages excluded from ReadTheDocs
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# ultravox dependencies
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"vllm",
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"vllm.engine.arg_utils",
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# local-smart-turn dependencies
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"coremltools",
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"coremltools.models",
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"coremltools.models.MLModel",
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"torch",
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"torch.nn",
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"torch.nn.functional",
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"torchaudio",
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# moondream dependencies
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"transformers",
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"transformers.AutoTokenizer",
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"transformers.AutoFeatureExtractor",
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"AutoFeatureExtractor",
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"timm",
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"einops",
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"intel_extension_for_pytorch",
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"huggingface_hub",
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# riva dependencies
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"riva",
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"riva.client",
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"riva.client.Auth",
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"riva.client.ASRService",
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"riva.client.StreamingRecognitionConfig",
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"riva.client.RecognitionConfig",
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"riva.client.AudioEncoding",
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"riva.client.proto.riva_tts_pb2",
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"riva.client.SpeechSynthesisService",
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# MLX dependencies (Apple Silicon specific)
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"mlx",
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"mlx_whisper", # Note: might need underscore format too
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]
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# HTML output settings
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