Add HuggingFace token setting for speaker detection
- Add "Speakers" tab in Settings with HF token input field - Include step-by-step instructions for obtaining the token - Pass hf_token from settings through Rust → Python pipeline → diarize - Token can also be set via HF_TOKEN environment variable as fallback - Move skip_diarization checkbox to Speakers tab Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -107,6 +107,7 @@ def make_pipeline_handler() -> HandlerFunc:
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min_speakers=payload.get("min_speakers"),
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max_speakers=payload.get("max_speakers"),
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skip_diarization=payload.get("skip_diarization", False),
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hf_token=payload.get("hf_token"),
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)
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return IPCMessage(
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id=msg.id,
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@@ -35,7 +35,7 @@ class DiarizeService:
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def __init__(self) -> None:
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self._pipeline: Any = None
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def _ensure_pipeline(self) -> Any:
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def _ensure_pipeline(self, hf_token: str | None = None) -> Any:
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"""Load the pyannote diarization pipeline (lazy)."""
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if self._pipeline is not None:
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return self._pipeline
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@@ -44,6 +44,8 @@ class DiarizeService:
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print("[sidecar] Loading pyannote diarization pipeline...", file=sys.stderr, flush=True)
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# Use token from argument, fall back to environment variable
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if not hf_token:
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hf_token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN") or None
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models = [
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@@ -81,6 +83,7 @@ class DiarizeService:
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num_speakers: int | None = None,
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min_speakers: int | None = None,
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max_speakers: int | None = None,
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hf_token: str | None = None,
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) -> DiarizationResult:
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"""Run speaker diarization on an audio file.
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@@ -98,7 +101,7 @@ class DiarizeService:
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progress_message(request_id, 0, "loading_diarization", "Loading diarization model...")
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)
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pipeline = self._ensure_pipeline()
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pipeline = self._ensure_pipeline(hf_token=hf_token)
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write_message(
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progress_message(request_id, 20, "diarizing", "Running speaker diarization...")
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@@ -60,6 +60,7 @@ class PipelineService:
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min_speakers: int | None = None,
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max_speakers: int | None = None,
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skip_diarization: bool = False,
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hf_token: str | None = None,
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) -> PipelineResult:
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"""Run the full transcription + diarization pipeline.
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@@ -123,6 +124,7 @@ class PipelineService:
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num_speakers=num_speakers,
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min_speakers=min_speakers,
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max_speakers=max_speakers,
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hf_token=hf_token,
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)
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except Exception as e:
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print(
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@@ -52,6 +52,7 @@ pub fn run_pipeline(
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min_speakers: Option<u32>,
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max_speakers: Option<u32>,
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skip_diarization: Option<bool>,
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hf_token: Option<String>,
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) -> Result<Value, String> {
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let manager = sidecar();
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manager.ensure_running()?;
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@@ -70,6 +71,7 @@ pub fn run_pipeline(
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"min_speakers": min_speakers,
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"max_speakers": max_speakers,
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"skip_diarization": skip_diarization.unwrap_or(false),
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"hf_token": hf_token,
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}),
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);
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@@ -9,7 +9,7 @@
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let { visible, onClose }: Props = $props();
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let localSettings = $state<AppSettings>({ ...$settings });
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let activeTab = $state<'transcription' | 'ai' | 'local'>('transcription');
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let activeTab = $state<'transcription' | 'speakers' | 'ai' | 'local'>('transcription');
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// Sync when settings store changes
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$effect(() => {
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@@ -46,6 +46,9 @@
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<button class="tab" class:active={activeTab === 'transcription'} onclick={() => activeTab = 'transcription'}>
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Transcription
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</button>
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<button class="tab" class:active={activeTab === 'speakers'} onclick={() => activeTab = 'speakers'}>
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Speakers
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</button>
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<button class="tab" class:active={activeTab === 'ai'} onclick={() => activeTab = 'ai'}>
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AI Provider
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</button>
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@@ -77,10 +80,27 @@
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<label for="stt-lang">Language (blank = auto-detect)</label>
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<input id="stt-lang" type="text" bind:value={localSettings.transcription_language} placeholder="e.g., en, es, fr" />
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</div>
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{:else if activeTab === 'speakers'}
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<div class="field">
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<label for="hf-token">HuggingFace Token</label>
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<input id="hf-token" type="password" bind:value={localSettings.hf_token} placeholder="hf_..." />
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</div>
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<div class="info-box">
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<p class="info-title">Why is this needed?</p>
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<p>Speaker detection uses the <strong>pyannote.audio</strong> model, which is hosted on HuggingFace and requires accepting a license agreement.</p>
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<p class="info-title">How to get a token:</p>
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<ol>
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<li>Create a free account at <strong>huggingface.co</strong></li>
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<li>Go to <strong>huggingface.co/pyannote/speaker-diarization-3.1</strong> and accept the license</li>
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<li>Go to <strong>huggingface.co/settings/tokens</strong> and create a token with <em>read</em> access</li>
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<li>Paste the token above and click Save</li>
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</ol>
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<p>The model will be downloaded automatically on first use (~100 MB).</p>
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</div>
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<div class="field checkbox">
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<label>
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<input type="checkbox" bind:checked={localSettings.skip_diarization} />
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Skip speaker diarization (faster, no speaker labels)
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Skip speaker detection (faster, no speaker labels)
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</label>
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</div>
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{:else if activeTab === 'ai'}
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@@ -252,6 +272,37 @@
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color: #666;
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line-height: 1.4;
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}
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.info-box {
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background: rgba(233, 69, 96, 0.05);
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border: 1px solid #2a3a5e;
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border-radius: 6px;
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padding: 0.75rem 1rem;
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margin-bottom: 1rem;
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font-size: 0.8rem;
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color: #b0b0b0;
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line-height: 1.5;
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}
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.info-box p {
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margin: 0 0 0.5rem;
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}
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.info-box p:last-child {
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margin-bottom: 0;
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}
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.info-box .info-title {
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color: #e0e0e0;
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font-weight: 600;
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font-size: 0.8rem;
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}
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.info-box ol {
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margin: 0.25rem 0 0.5rem;
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padding-left: 1.25rem;
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}
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.info-box li {
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margin-bottom: 0.25rem;
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}
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.info-box strong {
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color: #e0e0e0;
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}
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.modal-footer {
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display: flex;
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justify-content: flex-end;
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@@ -14,6 +14,7 @@ export interface AppSettings {
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transcription_device: string;
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transcription_language: string;
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skip_diarization: boolean;
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hf_token: string;
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}
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const defaults: AppSettings = {
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@@ -29,6 +30,7 @@ const defaults: AppSettings = {
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transcription_device: 'cpu',
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transcription_language: '',
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skip_diarization: false,
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hf_token: '',
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};
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export const settings = writable<AppSettings>({ ...defaults });
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@@ -133,6 +133,7 @@
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device: $settings.transcription_device || undefined,
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language: $settings.transcription_language || undefined,
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skipDiarization: $settings.skip_diarization || undefined,
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hfToken: $settings.hf_token || undefined,
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});
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// Create speaker entries from pipeline result
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