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- Ship tiktoken's cl100k_base inside the package and build the encoding from it, so token counting never downloads anything. - Default EMBEDDINGS_CACHE_DIR to <data home>/models instead of FastEmbed's temp dir, and read tokenizer.json and repo metadata from that cache, so a model downloads once and survives reboots. - TTS_PROVIDER=none and STT_PROVIDER=none switch the speech features off: the endpoints return 404, audio files fail to ingest with a clear message, /api/config reports tts_available/stt_available, and the UI hides the Speak and microphone buttons. - Drop the Google Fonts Roboto import from the web UI. - prefetch-models fills the cache the app reads; verify-offline checks the packaged encoding. - Docs: new Air-Gapped Deployment guide, settings and cache notes.
28 lines
882 B
Python
28 lines
882 B
Python
from typing import Optional
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from docsgpt.stt.base import BaseSTT
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from docsgpt.stt.faster_whisper_stt import FasterWhisperSTT
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from docsgpt.stt.openai_stt import OpenAISTT
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#: STT_PROVIDER value that switches speech-to-text off.
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DISABLED = "none"
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class STTCreator:
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stt_providers = {
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"openai": OpenAISTT,
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"faster_whisper": FasterWhisperSTT,
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}
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@staticmethod
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def is_enabled(stt_type: Optional[str]) -> bool:
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"""False when the provider is ``none`` or empty: speech-to-text is switched off."""
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return (stt_type or "").strip().lower() not in ("", DISABLED)
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@classmethod
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def create_stt(cls, stt_type, *args, **kwargs) -> BaseSTT:
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stt_class = cls.stt_providers.get(stt_type.lower())
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if not stt_class:
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raise ValueError(f"No stt class found for type {stt_type}")
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return stt_class(*args, **kwargs)
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