GABRIEL

ready

Live transcription

press REC and speak…

idle

Self-talk reasoning

step-by-step · same sequence

idle

Live for the current turn — runs while you stay on any tab. Green = active.

STT

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THINKING

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TTS

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HEARD (STT)

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REPLY (THINKING)

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VOICE (TTS)

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total latency—

Active pipeline (tap a slot → highlight → pick ANY model to substitute)

TTS ▲—

THINKING—

STT ▼—

Open chat context usage —

Context cap: 4096 tokens (model max: —)

Models (type = instant local filter · GO = search Ollama + HuggingFace)

Thinking models (LLM)

STT models (speech → text)

TTS models (text → speech)

Generated voice storage

WHO IS TALKING

Each profile = a person. Enroll 3+ voice samples per person. Gabriel recognizes them automatically and adapts its response voice.

GPU

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CPU / RAM / DISK

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Server log

System prompt

Voice

Speaking language Accent / dialect Voice type Tone Voice speed: 1.00x

Speaker recognition

Lower = merges more aggressively (one person stays one profile). Higher = stricter (may split a person into many). Defaults: match 55, cluster 50.

Match threshold (enrolled profiles): 55

Cluster threshold (auto-discovery): 50

Server

Versions —

Each release lives in ~/gabriel/versions/<ver>. ACTIVATE copies that version's gabriel.py+app.html live and offers its APK to re-install — for instant rollback.

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Password

Current password New password (min 4)

Permanent memory accumulated from chats & live (RAG). Editable. Facts inject into future conversations.

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