Update app.py
Browse files
app.py
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@@ -1,8 +1,10 @@
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import os, json, time, asyncio, tempfile
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from typing import AsyncGenerator, Dict, Any, Optional
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from fastapi import FastAPI, Request, Query, UploadFile
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from fastapi.responses import JSONResponse, StreamingResponse, FileResponse
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# === Directories ===
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BASE_DIR = os.environ.get("BASE_DIR", "/tmp/brain_app")
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FILES_DIR = os.path.join(BASE_DIR, "files")
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@@ -21,7 +23,7 @@ BASE_WPM = int(os.environ.get("BASE_WPM", "165"))
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NOISE_SCALE = float(os.environ.get("NOISE_SCALE", "0.33"))
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NOISE_W = float(os.environ.get("NOISE_W", "0.92"))
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app = FastAPI(title="Brain Space (STT→TTS coordinator)", version="3.
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log_queue: "asyncio.Queue[Dict[str, Any]]" = asyncio.Queue()
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def write_event(event: Dict[str, Any]) -> None:
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@@ -70,9 +72,7 @@ async def stream_logs() -> StreamingResponse:
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return StreamingResponse(gen(), media_type="text/event-stream",
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headers={"Cache-Control":"no-cache","Connection":"keep-alive"})
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# ---------- TTS proxy
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# GET: /tts/say.wav?text=...&voice=...&rate_wpm=165
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# POST: JSON {"text": "...", "voice": "...", "rate_wpm": 165}
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async def _proxy_tts_wav_stream(text: str, voice: str, rate_wpm: Optional[int],
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noise_scale: float, noise_w: float) -> StreamingResponse:
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import httpx
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@@ -88,7 +88,6 @@ async def _proxy_tts_wav_stream(text: str, voice: str, rate_wpm: Optional[int],
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async with httpx.AsyncClient(timeout=None) as client:
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async with client.stream("GET", f"{TTS_BASE}/speak.wav", params=params) as resp:
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if resp.status_code != 200:
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# bubble up exact error body from TTS
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yield (await resp.aread())
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return
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async for chunk in resp.aiter_bytes():
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@@ -123,8 +122,97 @@ async def tts_say_wav_post(req: Request):
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write_event({"type":"tts_post","len":len(text),"voice":voice,"rate_wpm":rate_wpm})
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return await _proxy_tts_wav_stream(text, voice, rate_wpm, noise_s, noise_wgt)
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# ----------
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# ---------- Optional: serve saved files later ----------
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@app.get("/files/{name}")
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import os, json, time, asyncio, tempfile, struct
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from typing import AsyncGenerator, Dict, Any, Optional
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from fastapi import FastAPI, Request, Query, UploadFile
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from fastapi.responses import JSONResponse, StreamingResponse, FileResponse
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import websockets # NEW
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# === Directories ===
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BASE_DIR = os.environ.get("BASE_DIR", "/tmp/brain_app")
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FILES_DIR = os.path.join(BASE_DIR, "files")
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NOISE_SCALE = float(os.environ.get("NOISE_SCALE", "0.33"))
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NOISE_W = float(os.environ.get("NOISE_W", "0.92"))
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app = FastAPI(title="Brain Space (STT→TTS coordinator)", version="3.2.0")
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log_queue: "asyncio.Queue[Dict[str, Any]]" = asyncio.Queue()
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def write_event(event: Dict[str, Any]) -> None:
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return StreamingResponse(gen(), media_type="text/event-stream",
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headers={"Cache-Control":"no-cache","Connection":"keep-alive"})
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# ---------- TTS proxy (file-mode, not live) ----------
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async def _proxy_tts_wav_stream(text: str, voice: str, rate_wpm: Optional[int],
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noise_scale: float, noise_w: float) -> StreamingResponse:
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import httpx
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async with httpx.AsyncClient(timeout=None) as client:
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async with client.stream("GET", f"{TTS_BASE}/speak.wav", params=params) as resp:
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if resp.status_code != 200:
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yield (await resp.aread())
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return
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async for chunk in resp.aiter_bytes():
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write_event({"type":"tts_post","len":len(text),"voice":voice,"rate_wpm":rate_wpm})
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return await _proxy_tts_wav_stream(text, voice, rate_wpm, noise_s, noise_wgt)
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# ---------- NEW: true LIVE streaming via TTS WebSocket ----------
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def _wav_header(sr: int, ch: int, bits: int = 16) -> bytes:
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byte_rate = sr * ch * (bits // 8)
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block_align = ch * (bits // 8)
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# streaming data size; many players accept 0xFFFFFFFF as "unknown length"
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data_size = 0xFFFFFFFF
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riff_size = 36 + data_size
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return b"".join([
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b"RIFF", struct.pack("<I", riff_size), b"WAVE",
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b"fmt ", struct.pack("<I", 16), struct.pack("<H", 1),
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struct.pack("<H", ch), struct.pack("<I", sr),
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struct.pack("<I", byte_rate), struct.pack("<H", block_align),
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struct.pack("<H", bits),
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b"data", struct.pack("<I", data_size),
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])
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def _tts_ws_url() -> str:
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base = TTS_BASE.rstrip("/")
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return base.replace("http://", "ws://").replace("https://", "wss://") + "/ws/tts"
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@app.get("/tts/say.stream.wav")
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async def tts_say_stream_wav(
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text: str = Query(..., description="Text to synthesize (live)"),
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voice: str = Query(DEFAULT_VOICE),
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rate_wpm: Optional[int] = Query(BASE_WPM),
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length_scale: Optional[float] = Query(None),
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noise_scale: float = Query(NOISE_SCALE),
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noise_w: float = Query(NOISE_W),
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):
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"""
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LIVE streaming proxy: TTS WS (raw PCM16) -> HTTP chunked WAV.
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Starts emitting audio as soon as the TTS starts producing frames.
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"""
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ls = float(length_scale) if length_scale is not None else rate_to_length_scale(rate_wpm or BASE_WPM)
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write_event({"type":"tts_stream_get","len":len(text),"voice":voice,"ls":ls})
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async def gen():
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ws_url = _tts_ws_url()
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async with websockets.connect(ws_url, ping_interval=None, max_size=8_000_000) as ws:
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# init
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await ws.send(json.dumps({
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"event": "init",
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"voice": voice,
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"length_scale": ls,
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"noise_scale": noise_scale,
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"noise_w": noise_w,
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}))
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sr, ch = 22050, 1
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# wait for ready -> send header
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while True:
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m = await ws.recv()
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if isinstance(m, (bytes, bytearray)):
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# unlikely before ready; ignore
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continue
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try:
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evt = json.loads(m)
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except Exception:
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continue
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if evt.get("event") == "ready":
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sr = int(evt.get("sr", 22050))
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ch = int(evt.get("channels", 1))
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yield _wav_header(sr, ch)
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break
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if evt.get("event") == "error":
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yield f'ERROR: {evt.get("detail","tts init error")}'.encode("utf-8")
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return
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# speak
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await ws.send(json.dumps({"event": "speak", "text": text}))
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# pump frames
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while True:
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try:
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msg = await ws.recv()
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except websockets.exceptions.ConnectionClosed:
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break
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if isinstance(msg, (bytes, bytearray)):
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yield msg
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else:
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try:
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evt = json.loads(msg)
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except Exception:
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continue
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if evt.get("event") in ("done", "end"):
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break
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if evt.get("event") == "error":
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yield f'ERROR: {evt.get("detail","tts error")}'.encode("utf-8")
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break
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return StreamingResponse(gen(), media_type="audio/wav",
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headers={"Cache-Control":"no-cache","Connection":"keep-alive"})
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# ---------- Optional: serve saved files later ----------
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@app.get("/files/{name}")
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