290cd7f1cd
faster-whisper runs on CTranslate2, not torch, but _get_whisper() imported torch (only to check cuda availability) inside the same try as the faster-whisper import. on a torch-less machine that raised ImportError and reported the misleading 'faster-whisper not installed' even when it was installed, so local mic transcription silently failed. probe torch separately and optionally: present -> cuda, absent -> cpu. also declare faster-whisper in requirements-optional.txt (torch stays an optional extra for gpu).
26 lines
1.3 KiB
Plaintext
26 lines
1.3 KiB
Plaintext
# Optional dependencies — install only if you use the corresponding feature.
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# The app handles their absence gracefully (clear error message on first use).
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#
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# Note: chromadb-client + fastembed moved to requirements.txt — RAG, semantic
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# memory, and tool selection are core paths, so they ship by default now.
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# Local speech-to-text (microphone -> text) via faster-whisper, for the
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# "local" STT provider. Runs on CPU out of the box (CTranslate2 backend, no
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# torch needed). Install if you want to dictate/transcribe with the mic
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# without sending audio to an external endpoint.
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# Optional extra: install `torch` too if you have a CUDA GPU and want
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# GPU-accelerated transcription — it's auto-detected, CPU is used otherwise.
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faster-whisper
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# DuckDuckGo as a search provider option.
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# Install if you want DDG in the search-provider dropdown.
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# Alternatives: SearXNG, Brave, Tavily, Serper, Google PSE.
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duckduckgo-search
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# PDF form-filling feature (fillable AcroForm detection, field extraction,
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# value/annotation/signature stamping, page rendering for the form overlay).
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# NOTE: PyMuPDF is AGPL-3.0. Installing it brings AGPL obligations for a
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# network-served app — see ACKNOWLEDGMENTS.md. The MIT core (PDF *text*
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# extraction via pypdf) works without it; this only unlocks form-filling.
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PyMuPDF
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