feat(audio): Gemini Live API replaces Whisper+GPT+ElevenLabs
Single WebSocket proxy: frontend PCM16 16kHz → backend → Gemini Live API Gemini returns PCM16 24kHz audio + text. Playback via Web Audio API queue. Removed OpenAI/DeepSeek deps. Model: gemini-3.1-flash-live-preview. Voice: Aoede. Streaming bidirectional audio with silence gating.
This commit is contained in:
+202
-153
@@ -1,6 +1,7 @@
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"""Kira — AI body double backend
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REST STT (gpt-4o-transcribe) → gpt-5.4-nano + Honcho → streaming TTS (sage)
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Gemini Live API (gemini-3.1-flash-live-preview) for real-time voice.
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Text chat still goes through Gemini generateContent REST endpoint.
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"""
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import json
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@@ -8,7 +9,9 @@ import base64
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import uuid
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import logging
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import asyncio
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import struct
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import websockets
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.middleware.cors import CORSMiddleware
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@@ -33,18 +36,12 @@ BASE_SYSTEM_PROMPT = (
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"You speak in a friendly, girly-pop tone. You are helping someone with ADHD "
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"stay focused and on task. Keep responses short, supportive, and uplifting. "
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"Check in on them. Remind them to take breaks. Celebrate small wins. "
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"Use occasional emoji but don't overdo it. Never be judgmental."
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"Use occasional emoji but don't overdo it. Never be judgmental. "
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"You are speaking out loud via voice, so keep natural conversational flow."
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)
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_openai = None
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def get_openai():
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global _openai
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if _openai is None:
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from openai import AsyncOpenAI
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_openai = AsyncOpenAI(api_key=settings.openai_api_key)
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return _openai
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GEMINI_WS_URL = "wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1beta.BidiGenerateContent"
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GEMINI_MODEL = "models/gemini-3.1-flash-live-preview"
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@app.on_event("startup")
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@@ -61,171 +58,223 @@ async def health():
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return {"status": "ok", "name": "kira", "memory": mem_status}
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async def transcribe_audio(client, audio_b64: str) -> str | None:
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"""REST transcription via gpt-4o-transcribe (full utterance blob)."""
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try:
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audio_bytes = base64.b64decode(audio_b64)
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import io
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audio_file = io.BytesIO(audio_bytes)
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audio_file.name = "audio.webm"
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transcript = await client.audio.transcriptions.create(
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model="gpt-4o-transcribe",
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file=audio_file,
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)
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return transcript.text.strip() if transcript.text else None
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except Exception as e:
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logger.error(f"Transcription error: {e}")
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return None
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async def get_kira_response(client, user_text: str, memory_suffix: str) -> str:
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"""Get Kira's response from gpt-5.4-nano."""
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system_prompt = BASE_SYSTEM_PROMPT
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if memory_suffix:
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system_prompt += memory_suffix
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resp = await client.chat.completions.create(
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model="gpt-5.4-nano",
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_text},
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],
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max_completion_tokens=300,
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temperature=0.7,
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)
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return resp.choices[0].message.content or "Mhm, I'm here! ✨"
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async def stream_tts(client, text: str, websocket: WebSocket):
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"""Stream TTS audio as Opus chunks over WebSocket."""
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await websocket.send_json({"type": "speaking_start", "text": text})
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async with client.audio.speech.with_streaming_response.create(
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model="tts-1",
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voice="sage",
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input=text,
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response_format="opus",
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) as tts_resp:
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async for chunk in tts_resp.iter_bytes():
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if chunk:
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b64 = base64.b64encode(chunk).decode("utf-8")
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await websocket.send_json({"type": "audio", "data": b64})
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await websocket.send_json({"type": "speaking_end"})
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@app.websocket("/api/ws")
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async def conversation_ws(websocket: WebSocket):
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async def gemini_voice_ws(websocket: WebSocket):
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"""WebSocket proxy between frontend and Gemini Live API.
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Protocol (frontend ↔ this proxy):
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→ {"type": "audio", "data": "<base64 PCM16 16kHz>"}
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→ {"type": "conversation_text", "text": "..."}
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→ {"type": "identify", "user_id": "...", "name": "..."}
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→ {"type": "ping"}
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← {"type": "audio", "data": "<base64 PCM16 24kHz>"}
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← {"type": "transcript", "role": "user"|"kira", "text": "..."}
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← {"type": "turn_complete"}
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← {"type": "interrupted"}
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← {"type": "error", "message": "..."}
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"""
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await websocket.accept()
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session_id = str(uuid.uuid4())[:8]
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user_id = "default-user"
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identified = False
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memory_suffix = ""
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logger.info(f"[{session_id}] WebSocket connected")
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conversation_history: list[dict] = []
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gemini_ws = None
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gemini_task = None
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frontend_task = None
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try:
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while True:
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raw = await websocket.receive_text()
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msg = json.loads(raw)
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msg_type = msg.get("type", "")
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# ── Connect to Gemini Live API ──
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gemini_url = f"{GEMINI_WS_URL}?key={settings.gemini_api_key}"
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gemini_ws = await websockets.connect(gemini_url, max_size=2**24)
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# ── Identity & Preferences ──
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if msg_type == "identify":
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user_id = msg.get("user_id", "").strip()
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user_name = msg.get("name", "").strip()
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if user_name and user_id:
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kira_memory.set_user_preference(user_id, "name", user_name)
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# ── Send setup ──
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system_prompt = BASE_SYSTEM_PROMPT
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setup_msg = {
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"setup": {
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"model": GEMINI_MODEL,
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"generationConfig": {
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"responseModalities": ["AUDIO", "TEXT"],
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"speechConfig": {
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"voiceConfig": {
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"prebuiltVoiceConfig": {
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"voiceName": "Aoede"
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}
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}
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},
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},
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"systemInstruction": {
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"parts": [{"text": system_prompt}]
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},
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}
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}
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await gemini_ws.send(json.dumps(setup_msg))
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logger.info(f"[{session_id}] Connected to Gemini Live API")
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prefs = kira_memory.get_user_preferences(user_id)
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identified = True
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# Wait for setup complete
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raw = await asyncio.wait_for(gemini_ws.recv(), timeout=10)
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setup_resp = json.loads(raw)
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if "setupComplete" in setup_resp:
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logger.info(f"[{session_id}] Gemini setup complete")
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else:
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logger.warning(f"[{session_id}] Unexpected setup response: {list(setup_resp.keys())}")
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if kira_memory.enabled:
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kira_memory.ensure_peers(user_id)
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kira_memory.ensure_session(session_id)
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try:
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ctx = kira_memory.build_system_prompt_suffix()
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if ctx:
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memory_suffix = ctx
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except Exception:
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# ── Gemini → Frontend relay ──
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async def relay_gemini():
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try:
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async for raw in gemini_ws:
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msg = json.loads(raw)
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if "serverContent" in msg:
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sc = msg["serverContent"]
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model_turn = sc.get("modelTurn", {})
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parts = model_turn.get("parts", [])
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for part in parts:
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# Text response
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if "text" in part:
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await websocket.send_json({
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"type": "transcript",
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"role": "kira",
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"text": part["text"],
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})
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# Audio response (PCM16 24kHz)
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if "inlineData" in part:
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audio_data = part["inlineData"].get("data", "")
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if audio_data:
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await websocket.send_json({
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"type": "audio",
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"data": audio_data,
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})
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# Turn complete
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if sc.get("turnComplete"):
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await websocket.send_json({"type": "turn_complete"})
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# Interrupted
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if sc.get("interrupted"):
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await websocket.send_json({"type": "interrupted"})
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elif "toolCall" in msg:
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pass # future: tool use
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elif "toolCallCancellation" in msg:
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pass
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await websocket.send_json({
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"type": "identified",
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"user_id": user_id,
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"preferences": prefs,
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})
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continue
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elif "error" in msg:
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err = msg["error"]
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logger.error(f"[{session_id}] Gemini error: {err}")
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await websocket.send_json({
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"type": "error",
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"message": str(err.get("message", err)),
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})
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if msg_type == "set_preference":
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key = msg.get("key", "").strip()
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value = msg.get("value", "").strip()
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if key and user_id and user_id != "default-user":
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kira_memory.set_user_preference(user_id, key, value)
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await websocket.send_json({"type": "preference_saved", "key": key, "success": True})
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continue
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except websockets.exceptions.ConnectionClosed:
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logger.info(f"[{session_id}] Gemini WS closed")
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except Exception as e:
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logger.error(f"[{session_id}] Gemini relay error: {e}")
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# ── Audio (full webm/opus blob from MediaRecorder) → REST STT → LLM → TTS ──
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if msg_type == "audio":
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audio_b64 = msg.get("data", "")
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if not audio_b64:
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continue
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# ── Frontend → Gemini relay ──
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async def relay_frontend():
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nonlocal user_id, memory_suffix
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try:
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while True:
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raw = await websocket.receive_text()
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msg = json.loads(raw)
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msg_type = msg.get("type", "")
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client = get_openai()
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if msg_type == "identify":
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user_id = msg.get("user_id", "default-user").strip()
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user_name = msg.get("name", "").strip()
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if user_name and user_id:
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kira_memory.set_user_preference(user_id, "name", user_name)
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prefs = kira_memory.get_user_preferences(user_id)
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if kira_memory.enabled:
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kira_memory.ensure_peers(user_id)
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kira_memory.ensure_session(session_id)
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try:
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ctx = kira_memory.build_system_prompt_suffix()
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if ctx:
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memory_suffix = ctx
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except Exception:
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pass
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await websocket.send_json({
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"type": "identified",
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"user_id": user_id,
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"preferences": prefs,
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})
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continue
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# STT (REST)
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transcript = await transcribe_audio(client, audio_b64)
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if not transcript:
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await websocket.send_json({"type": "transcript", "role": "user", "text": "(could not transcribe)"})
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await websocket.send_json({"type": "error", "message": "Could not transcribe audio"})
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continue
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if msg_type == "set_preference":
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key = msg.get("key", "").strip()
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value = msg.get("value", "").strip()
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if key and user_id and user_id != "default-user":
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kira_memory.set_user_preference(user_id, key, value)
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await websocket.send_json({"type": "preference_saved", "key": key, "success": True})
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continue
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logger.info(f"[{session_id}] User: {transcript}")
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await websocket.send_json({"type": "transcript_delta", "text": transcript})
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await websocket.send_json({"type": "transcript", "role": "user", "text": transcript})
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conversation_history.append({"role": "user", "content": transcript})
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if msg_type == "audio":
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# Forward PCM16 audio to Gemini as realtimeInput
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audio_b64 = msg.get("data", "")
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if audio_b64 and gemini_ws and gemini_ws.state.name == "OPEN":
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gemini_msg = {
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"realtimeInput": {
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"audio": {
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"mimeType": "audio/pcm;rate=16000",
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"data": audio_b64,
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}
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}
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}
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await gemini_ws.send(json.dumps(gemini_msg))
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continue
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# LLM
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kira_text = await get_kira_response(client, transcript, memory_suffix)
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conversation_history.append({"role": "assistant", "content": kira_text})
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logger.info(f"[{session_id}] Kira: {kira_text}")
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if msg_type == "conversation_text":
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text = msg.get("text", "").strip()
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if not text:
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continue
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logger.info(f"[{session_id}] User (text): {text}")
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# Send as a text turn to Gemini
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if gemini_ws and gemini_ws.state.name == "OPEN":
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user_part = {"text": text}
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if memory_suffix:
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user_part = {"text": f"[Context: {memory_suffix}]\n{text}"}
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gemini_msg = {
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"clientContent": {
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"turns": [{"role": "user", "parts": [user_part]}],
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"turnComplete": True,
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}
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}
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await gemini_ws.send(json.dumps(gemini_msg))
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await websocket.send_json({
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"type": "transcript",
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"role": "user",
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"text": text,
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})
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continue
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# Store in Honcho
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if kira_memory.enabled and identified:
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try:
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kira_memory.store_messages(transcript, kira_text)
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except Exception:
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pass
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if msg_type == "ping":
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await websocket.send_json({"type": "pong"})
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# TTS (streaming)
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await stream_tts(client, kira_text, websocket)
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continue
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except WebSocketDisconnect:
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pass
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except Exception as e:
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logger.error(f"[{session_id}] Frontend relay error: {e}")
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# ── Text input → direct LLM + TTS ──
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if msg_type == "conversation_text":
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text = msg.get("text", "").strip()
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if not text:
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continue
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gemini_task = asyncio.create_task(relay_gemini())
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frontend_task = asyncio.create_task(relay_frontend())
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logger.info(f"[{session_id}] User (text): {text}")
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conversation_history.append({"role": "user", "content": text})
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# Wait for either to finish
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done, pending = await asyncio.wait(
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[gemini_task, frontend_task],
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return_when=asyncio.FIRST_COMPLETED,
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)
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for t in pending:
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t.cancel()
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client = get_openai()
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kira_text = await get_kira_response(client, text, memory_suffix)
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conversation_history.append({"role": "assistant", "content": kira_text})
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logger.info(f"[{session_id}] Kira: {kira_text}")
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if kira_memory.enabled and identified:
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try:
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kira_memory.store_messages(text, kira_text)
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except Exception:
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pass
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await stream_tts(client, kira_text, websocket)
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continue
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if msg_type == "ping":
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await websocket.send_json({"type": "pong"})
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except WebSocketDisconnect:
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logger.info(f"[{session_id}] Disconnected")
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except Exception as e:
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logger.error(f"[{session_id}] Error: {e}")
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logger.error(f"[{session_id}] Connection error: {e}")
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finally:
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if gemini_ws:
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await gemini_ws.close()
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logger.info(f"[{session_id}] Disconnected")
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