Commit ·
4d63615
1
Parent(s): 14b6b3e
Add Orpheus TTS integration with fallback to Wav2Lip audio
Browse files- Add Orpheus TTS WebSocket client (ws://localhost:8081/ws)
- Fetch high-quality audio from Orpheus in parallel with Wav2Lip frames
- Fallback to Wav2Lip eSpeak audio when Orpheus is unavailable
- Audio is sent as binary PCM for efficient streaming
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- interface/server_optimized.py +92 -16
interface/server_optimized.py
CHANGED
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@@ -25,8 +25,10 @@ import struct
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# Configuracao
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WAV2LIP_WS = os.getenv("WAV2LIP_WS", "ws://localhost:8082/ws")
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PORT = int(os.getenv("PORT", "8080"))
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VIDEO_FPS = 25
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routes = web.RouteTableDef()
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@@ -73,8 +75,54 @@ class OptimizedSession:
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except Exception as e:
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print(f"Erro enviando audio binário: {e}")
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async def run(self, text: str, voice: str):
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"""Streaming otimizado com binário."""
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self.is_running = True
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self.start_time = time.time()
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self.total_bytes = 0
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@@ -83,6 +131,11 @@ class OptimizedSession:
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try:
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async with aiohttp.ClientSession() as session:
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wav2lip_ws = await session.ws_connect(
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WAV2LIP_WS,
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timeout=aiohttp.ClientWSTimeout(ws_close=300),
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@@ -91,7 +144,7 @@ class OptimizedSession:
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await self.send_json("status", message="Gerando...")
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-
# Enviar texto para Wav2Lip
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await wav2lip_ws.send_json({
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"action": "speak",
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"text": text,
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@@ -102,8 +155,9 @@ class OptimizedSession:
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print(f"[Optimized] Texto: '{text[:50]}...'")
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first_frame_time = None
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-
# Receber
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async for msg in wav2lip_ws:
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if not self.is_running:
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break
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@@ -118,7 +172,7 @@ class OptimizedSession:
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frame_bytes = base64.b64decode(frame_b64)
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self.total_frames += 1
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# Enviar como binário puro
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await self.send_binary_frame(frame_bytes, self.total_frames)
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if first_frame_time is None:
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@@ -127,20 +181,39 @@ class OptimizedSession:
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print(f"[Optimized] Primeiro frame: {latency_ms}ms")
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await self.send_json("first_frame", latency_ms=latency_ms)
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elif msg_type == "done":
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print(f"[Optimized] Concluído: {self.total_frames} frames")
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break
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@@ -159,6 +232,10 @@ class OptimizedSession:
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await wav2lip_ws.close()
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except Exception as e:
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print(f"Erro: {e}")
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import traceback
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@@ -168,7 +245,6 @@ class OptimizedSession:
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# Finalizar
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elapsed = time.time() - self.start_time
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savings = self.total_bytes # vs base64 seria ~33% maior
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print(f"Sessao: {elapsed:.2f}s, {self.total_frames} frames, {self.total_bytes/1024:.1f}KB binário")
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# Configuracao
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WAV2LIP_WS = os.getenv("WAV2LIP_WS", "ws://localhost:8082/ws")
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ORPHEUS_WS = os.getenv("ORPHEUS_WS", "ws://localhost:8081/ws")
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PORT = int(os.getenv("PORT", "8080"))
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VIDEO_FPS = 25
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AUDIO_SAMPLE_RATE = 24000
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routes = web.RouteTableDef()
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except Exception as e:
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print(f"Erro enviando audio binário: {e}")
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async def fetch_audio_from_orpheus(self, session, text: str, voice: str):
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"""Busca áudio do Orpheus TTS via WebSocket."""
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audio_chunks = []
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try:
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orpheus_ws = await session.ws_connect(
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ORPHEUS_WS,
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timeout=aiohttp.ClientWSTimeout(ws_close=60),
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max_msg_size=10*1024*1024
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)
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# Enviar requisição para Orpheus (action: synthesize)
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await orpheus_ws.send_json({
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"action": "synthesize",
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"text": text,
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"voice": voice,
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"stream": True
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})
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print(f"[Orpheus] Requisição enviada: '{text[:30]}...'")
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# Receber chunks de áudio
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async for msg in orpheus_ws:
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if msg.type == aiohttp.WSMsgType.BINARY:
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audio_chunks.append(msg.data)
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elif msg.type == aiohttp.WSMsgType.TEXT:
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data = json.loads(msg.data)
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if data.get("type") == "done" or data.get("done"):
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break
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elif data.get("type") == "error":
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print(f"[Orpheus] Erro: {data.get('message')}")
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break
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elif msg.type in (aiohttp.WSMsgType.CLOSED, aiohttp.WSMsgType.ERROR):
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break
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await orpheus_ws.close()
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except Exception as e:
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print(f"[Orpheus] Erro: {e}")
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# Concatenar chunks
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if audio_chunks:
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full_audio = b''.join(audio_chunks)
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print(f"[Orpheus] Audio recebido: {len(full_audio)} bytes")
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return full_audio
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return None
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async def run(self, text: str, voice: str):
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"""Streaming otimizado com binário - audio do Orpheus TTS."""
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self.is_running = True
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self.start_time = time.time()
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self.total_bytes = 0
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try:
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async with aiohttp.ClientSession() as session:
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# Iniciar busca de áudio do Orpheus em paralelo
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audio_task = asyncio.create_task(
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self.fetch_audio_from_orpheus(session, text, voice)
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)
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wav2lip_ws = await session.ws_connect(
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WAV2LIP_WS,
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timeout=aiohttp.ClientWSTimeout(ws_close=300),
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await self.send_json("status", message="Gerando...")
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# Enviar texto para Wav2Lip (ainda usa eSpeak para lip sync)
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await wav2lip_ws.send_json({
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"action": "speak",
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"text": text,
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print(f"[Optimized] Texto: '{text[:50]}...'")
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first_frame_time = None
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audio_sent = False
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# Receber frames do Wav2Lip
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async for msg in wav2lip_ws:
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if not self.is_running:
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break
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frame_bytes = base64.b64decode(frame_b64)
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self.total_frames += 1
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# Enviar como binário puro
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await self.send_binary_frame(frame_bytes, self.total_frames)
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if first_frame_time is None:
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print(f"[Optimized] Primeiro frame: {latency_ms}ms")
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await self.send_json("first_frame", latency_ms=latency_ms)
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# Enviar áudio do Orpheus quando disponível (apenas uma vez)
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if not audio_sent and audio_task.done():
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audio_bytes = audio_task.result()
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if audio_bytes:
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# Extrair PCM se for WAV
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if len(audio_bytes) > 44 and audio_bytes[:4] == b'RIFF':
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audio_bytes = audio_bytes[44:]
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await self.send_binary_audio(audio_bytes, AUDIO_SAMPLE_RATE)
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print(f"[Optimized] Audio Orpheus: {len(audio_bytes)} bytes")
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audio_sent = True
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elif msg_type == "full_audio":
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# Usar áudio do Wav2Lip como fallback se Orpheus não enviou
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if not audio_sent:
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wav_audio = data.get("audio", "")
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if wav_audio:
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audio_bytes = base64.b64decode(wav_audio)
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# Extrair PCM se for WAV
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if len(audio_bytes) > 44 and audio_bytes[:4] == b'RIFF':
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audio_bytes = audio_bytes[44:]
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await self.send_binary_audio(audio_bytes, AUDIO_SAMPLE_RATE)
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print(f"[Optimized] Audio Wav2Lip fallback: {len(audio_bytes)} bytes")
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audio_sent = True
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elif msg_type == "done":
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# Garantir que audio foi enviado
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if not audio_sent:
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audio_bytes = await audio_task
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if audio_bytes:
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if len(audio_bytes) > 44 and audio_bytes[:4] == b'RIFF':
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audio_bytes = audio_bytes[44:]
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await self.send_binary_audio(audio_bytes, AUDIO_SAMPLE_RATE)
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print(f"[Optimized] Audio Orpheus (final): {len(audio_bytes)} bytes")
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print(f"[Optimized] Concluído: {self.total_frames} frames")
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break
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await wav2lip_ws.close()
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# Cancelar task de audio se ainda estiver rodando
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if not audio_task.done():
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audio_task.cancel()
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except Exception as e:
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print(f"Erro: {e}")
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import traceback
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# Finalizar
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elapsed = time.time() - self.start_time
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print(f"Sessao: {elapsed:.2f}s, {self.total_frames} frames, {self.total_bytes/1024:.1f}KB binário")
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