File size: 8,424 Bytes
f0b1626 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 |
"""
Real-time streaming translation server.
Provides WebSocket and REST APIs for:
- Real-time audio translation
- Video translation with lip sync
- Voice cloning management
- WebRTC integration
"""
import logging
from contextlib import asynccontextmanager
from pathlib import Path
import numpy as np
from fastapi import FastAPI, File, Form, UploadFile, WebSocket, WebSocketDisconnect
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from pydantic import BaseModel
from ..config import TranslatorConfig
from ..pipeline import TranslationPipeline
logger = logging.getLogger(__name__)
class TranslationRequest(BaseModel):
"""Request for text-based translation."""
text: str
source_lang: str | None = None
target_lang: str = "en"
speaker_id: str | None = None
class SpeakerRegistration(BaseModel):
"""Request to register a speaker for voice cloning."""
speaker_id: str
class TranslationResponse(BaseModel):
"""Response from translation."""
text: str
source_lang: str
target_lang: str
speaker_id: str | None = None
audio_url: str | None = None
class TranslationServer:
"""Main translation server."""
def __init__(self, config: TranslatorConfig | None = None):
self.config = config or TranslatorConfig()
self.pipeline = TranslationPipeline(self.config)
self.active_connections: list[WebSocket] = []
async def startup(self) -> None:
"""Initialize server and load models."""
logger.info("Starting translation server...")
await self.pipeline.load()
logger.info("Server ready")
async def shutdown(self) -> None:
"""Cleanup on shutdown."""
logger.info("Shutting down server...")
await self.pipeline.unload()
# Global server instance
_server: TranslationServer | None = None
def get_server() -> TranslationServer:
"""Get the global server instance."""
global _server
if _server is None:
_server = TranslationServer()
return _server
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan manager."""
server = get_server()
await server.startup()
yield
await server.shutdown()
def create_app() -> FastAPI:
"""Create and configure the FastAPI application."""
app = FastAPI(
title="Zen Translator API",
description="Real-time multimodal translation with voice cloning and lip sync",
version="0.1.0",
lifespan=lifespan,
)
# CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Health check
@app.get("/health")
async def health_check():
return {"status": "healthy", "version": "0.1.0"}
# Translation endpoints
@app.post("/translate/audio", response_model=TranslationResponse)
async def translate_audio(
audio: UploadFile = File(...),
source_lang: str | None = Form(None),
target_lang: str = Form("en"),
speaker_id: str | None = Form(None),
):
"""Translate audio file."""
server = get_server()
# Read audio file
audio_bytes = await audio.read()
audio_array = np.frombuffer(audio_bytes, dtype=np.int16).astype(np.float32) / 32768.0
result = await server.pipeline.translate_audio(
audio=audio_array,
source_lang=source_lang,
target_lang=target_lang,
speaker_id=speaker_id,
)
# Save audio to temp file if present
audio_url = None
if "audio" in result:
import tempfile
import soundfile as sf
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
sf.write(f.name, result["audio"], result["sample_rate"])
audio_url = f"/audio/{Path(f.name).name}"
return TranslationResponse(
text=result["text"],
source_lang=result["source_lang"],
target_lang=result["target_lang"],
speaker_id=result.get("speaker_id"),
audio_url=audio_url,
)
@app.post("/translate/video")
async def translate_video(
video: UploadFile = File(...),
source_lang: str | None = Form(None),
target_lang: str = Form("en"),
speaker_id: str | None = Form(None),
):
"""Translate video with lip sync."""
server = get_server()
# Save uploaded video
import tempfile
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as f:
video_path = Path(f.name)
f.write(await video.read())
output_path = video_path.parent / f"{video_path.stem}_translated.mp4"
result = await server.pipeline.translate_video(
video=video_path,
source_lang=source_lang,
target_lang=target_lang,
speaker_id=speaker_id,
output_path=output_path,
)
# Cleanup input
video_path.unlink()
return FileResponse(
result["output_path"],
media_type="video/mp4",
filename="translated_video.mp4",
)
@app.post("/speakers/register")
async def register_speaker(
speaker_id: str = Form(...),
audio: UploadFile = File(...),
):
"""Register a speaker for voice cloning."""
server = get_server()
# Read audio
audio_bytes = await audio.read()
audio_array = np.frombuffer(audio_bytes, dtype=np.int16).astype(np.float32) / 32768.0
result = await server.pipeline.register_speaker(
speaker_id=speaker_id,
reference_audio=audio_array,
)
return result
@app.get("/speakers")
async def list_speakers():
"""List registered speakers."""
server = get_server()
return {"speakers": server.pipeline.voice_cloner.list_speakers()}
@app.get("/languages")
async def get_languages():
"""Get supported languages."""
server = get_server()
return server.pipeline.get_supported_languages()
# WebSocket for real-time streaming
@app.websocket("/ws/translate")
async def websocket_translate(websocket: WebSocket):
"""WebSocket endpoint for real-time translation."""
server = get_server()
await websocket.accept()
server.active_connections.append(websocket)
try:
# Receive configuration
config_data = await websocket.receive_json()
source_lang = config_data.get("source_lang")
target_lang = config_data.get("target_lang", "en")
speaker_id = config_data.get("speaker_id")
await websocket.send_json({"status": "ready", "message": "Send audio chunks"})
# Create audio stream
async def audio_generator():
while True:
try:
data = await websocket.receive_bytes()
audio = np.frombuffer(data, dtype=np.int16).astype(np.float32) / 32768.0
yield audio
except WebSocketDisconnect:
break
# Stream translation
async for result in server.pipeline.stream_translate(
audio_stream=audio_generator(),
source_lang=source_lang,
target_lang=target_lang,
speaker_id=speaker_id,
):
# Send text
await websocket.send_json(
{
"type": "text",
"text": result["text"],
}
)
# Send audio
if "audio" in result:
audio_bytes = (result["audio"] * 32768).astype(np.int16).tobytes()
await websocket.send_bytes(audio_bytes)
except WebSocketDisconnect:
logger.info("WebSocket disconnected")
finally:
server.active_connections.remove(websocket)
return app
# CLI entry point
def main():
"""Run the translation server."""
import uvicorn
app = create_app()
uvicorn.run(app, host="0.0.0.0", port=8000)
if __name__ == "__main__":
main()
|