Introduce Realtime LipSync Client

README.md

@@ -82,7 +82,7 @@ uv sync --all-extras
 uv run pytest
 
 # Run linting
-uv run ruff check decart/
+uv run ruff check decart/ tests/ examples/
 
 # Format code
 uv run black decart/ tests/ examples/

decart/lipsync/__init__.py

@@ -0,0 +1,3 @@
+from .client import RealtimeLipsyncClient
+
+__all__ = ["RealtimeLipsyncClient"]

decart/lipsync/client.py

@@ -0,0 +1,172 @@
+import asyncio
+import websockets
+from typing import Optional, Tuple
+from .messages import (
+    LipsyncClientMessage,
+    LipsyncServerMessage,
+    LipsyncServerMessageAdapter,
+    LipsyncConfigMessage,
+    LipsyncConfigAckMessage,
+    LipsyncAudioInputMessage,
+    LipsyncVideoInputMessage,
+    LipsyncInterruptAudioMessage,
+    LipsyncSyncedOutputMessage,
+    LipsyncErrorMessage,
+)
+import fractions
+import time
+import logging
+import cv2
+import numpy as np
+
+logger = logging.getLogger(__name__)
+
+
+class RealtimeLipsyncClient:
+
+    DECART_LIPSYNC_ENDPOINT = "/router/lipsync/ws"
+    VIDEO_FPS = 25
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: str = "https://api.decart.ai",
+        audio_sample_rate: int = 16000,
+        video_fps: int = VIDEO_FPS,
+        sync_latency: float = 0.0,
+    ):
+        """
+        Args:
+            api_key: The API key for the Decart Lipsync server
+            url: The URL of the Decart Lipsync server
+            audio_sample_rate: The sample rate of the audio
+            video_fps: The FPS of the video
+            sync_latency: Delay next frame up to this many seconds, to account for variable latency
+        """
+        self._url = f"{base_url}{self.DECART_LIPSYNC_ENDPOINT}".replace(
+            "https://", "wss://"
+        ).replace("http://", "ws://")
+        self._api_key = api_key
+        self._audio_sample_rate = audio_sample_rate
+        self._video_fps = video_fps
+        self._sync_latency = sync_latency
+
+        self._websocket: Optional[websockets.ClientConnection] = None
+        self._out_queue = asyncio.Queue()
+        self._response_handling_task: Optional[asyncio.Task] = None
+
+        self._video_frame_interval = fractions.Fraction(1, video_fps)
+        self._video_out_frame_index = 0
+        self._video_out_start_time = 0
+
+    async def _recv(self) -> LipsyncServerMessage:
+        response = await self._websocket.recv()
+        return LipsyncServerMessageAdapter.validate_json(response)
+
+    async def _send(self, message: LipsyncClientMessage):
+        msg = message.model_dump_json()
+        await self._websocket.send(msg)
+
+    async def _handle_server_responses(self):
+        try:
+            while self._websocket is not None:
+                response = await self._recv()
+                if isinstance(response, LipsyncSyncedOutputMessage):
+                    await self._out_queue.put(response)
+                elif isinstance(response, LipsyncErrorMessage):
+                    logger.error(f"Lipsync server error: {response.message}")
+                    raise Exception(response.message)
+                else:
+                    logger.error(f"Unknown response from lipsync server: {response}")
+        except asyncio.CancelledError:
+            pass
+        except websockets.exceptions.ConnectionClosedOK:
+            logger.debug("Connection closed by server")
+
+    async def _decode_video_frame(self, video_frame: bytes) -> bytes:
+        def _decode_video_frame_sync(video_frame: bytes) -> bytes:
+            nparr = np.frombuffer(video_frame, np.uint8)
+            video_frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+            return video_frame
+
+        return await asyncio.to_thread(_decode_video_frame_sync, video_frame)
+
+    async def _encode_video_frame(self, image: np.ndarray) -> bytes:
+        def _encode_video_frame_sync(image: np.ndarray) -> bytes:
+            success, encoded_image = cv2.imencode(".jpeg", image)
+            if not success:
+                raise Exception("Failed to encode video frame as JPEG")
+            return encoded_image.tobytes()
+
+        return await asyncio.to_thread(_encode_video_frame_sync, image)
+
+    async def _decode_audio_frame(self, audio_frame: bytes) -> bytes:
+        return audio_frame
+
+    async def connect(self):
+        logger.debug(f"Connecting to lipsync server at {self._url}")
+        self._websocket = await websockets.connect(f"{self._url}?api_key={self._api_key}")
+        logger.debug("WebSocket connected")
+        # Initial handshake
+        await self._send(
+            LipsyncConfigMessage(
+                video_fps=self._video_fps,
+                audio_sample_rate=self._audio_sample_rate,
+            )
+        )
+        logger.debug("Configuration sent")
+        response = await self._recv()
+        if not isinstance(response, LipsyncConfigAckMessage):
+            raise Exception(f"Configuration not acknowledged by server: {response}")
+        logger.debug("Configuration acknowledged")
+
+        self._response_handling_task = asyncio.create_task(self._handle_server_responses())
+
+        logger.debug("Connected to lipsync server")
+
+    async def disconnect(self):
+        if self._websocket is not None:
+            await self._websocket.close()
+            self._websocket = None
+
+        if self._response_handling_task is not None:
+            self._response_handling_task.cancel()
+            try:
+                await self._response_handling_task
+            except asyncio.CancelledError:
+                pass
+            self._response_handling_task = None
+
+    async def send_audio(self, audio_data: bytes):
+        await self._send(LipsyncAudioInputMessage(audio_data=audio_data))
+
+    async def send_video_frame_bytes(self, video_frame_bytes: bytes):
+        await self._send(LipsyncVideoInputMessage(video_frame=video_frame_bytes))
+
+    async def send_video_frame(self, image: np.ndarray):
+        encoded_image = await self._encode_video_frame(image)
+        await self.send_video_frame_bytes(encoded_image)
+
+    async def interrupt_audio(self):
+        await self._send(LipsyncInterruptAudioMessage())
+
+    async def get_synced_output(self, timeout: Optional[float] = None) -> Tuple[bytes, bytes]:
+        synced_output: LipsyncSyncedOutputMessage = await asyncio.wait_for(
+            self._out_queue.get(), timeout=timeout
+        )
+
+        video_frame = await self._decode_video_frame(synced_output.video_frame)
+        audio_frame = await self._decode_audio_frame(synced_output.audio_frame)
+
+        if self._video_out_frame_index == 0:
+            self._video_out_start_time = time.time() + self._sync_latency
+
+        time_til_frame = (
+            self._video_out_start_time
+            + (self._video_out_frame_index * self._video_frame_interval)
+            - time.time()
+        )
+        if time_til_frame > 0:
+            await asyncio.sleep(time_til_frame)
+
+        return video_frame, audio_frame

decart/lipsync/messages.py

@@ -0,0 +1,58 @@
+from pydantic import BaseModel, Field, ConfigDict, TypeAdapter
+from typing import Literal, Union, Annotated
+
+
+class LipsyncMessage(BaseModel):
+    model_config = ConfigDict(ser_json_bytes="base64", val_json_bytes="base64")
+
+
+class LipsyncConfigMessage(LipsyncMessage):
+    type: Literal["config"] = "config"
+    video_fps: int
+    audio_sample_rate: int
+
+
+class LipsyncConfigAckMessage(LipsyncMessage):
+    type: Literal["config_ack"] = "config_ack"
+
+
+class LipsyncAudioInputMessage(LipsyncMessage):
+    type: Literal["audio_input"] = "audio_input"
+    audio_data: bytes
+
+
+class LipsyncVideoInputMessage(LipsyncMessage):
+    type: Literal["video_input"] = "video_input"
+    video_frame: bytes
+
+
+class LipsyncInterruptAudioMessage(LipsyncMessage):
+    type: Literal["interrupt_audio"] = "interrupt_audio"
+
+
+class LipsyncSyncedOutputMessage(LipsyncMessage):
+    type: Literal["synced_result"] = "synced_result"
+    video_frame: bytes
+    audio_frame: bytes
+
+
+class LipsyncErrorMessage(LipsyncMessage):
+    type: Literal["error"] = "error"
+    message: str
+
+
+LipsyncClientMessage = Annotated[
+    Union[
+        LipsyncConfigMessage,
+        LipsyncAudioInputMessage,
+        LipsyncVideoInputMessage,
+        LipsyncInterruptAudioMessage,
+    ],
+    Field(discriminator="type"),
+]
+LipsyncServerMessage = Annotated[
+    Union[LipsyncConfigAckMessage, LipsyncSyncedOutputMessage, LipsyncErrorMessage],
+    Field(discriminator="type"),
+]
+
+LipsyncServerMessageAdapter = TypeAdapter(LipsyncServerMessage)

examples/lipsync_file.py

@@ -0,0 +1,114 @@
+#!/usr/bin/env python
+"""
+Example of using Decart's Realtime Lipsync API to synchronize audio with video.
+
+This example loads a video file and an audio file, processes them through the
+Decart Lipsync API, and saves the lipsynced result to a new video file.
+
+Usage:
+    python lipsync_file.py <video_file> <audio_file> <output_file>
+
+Example:
+    python lipsync_file.py input.mp4 speech.wav output_lipsynced.mp4
+    python lipsync_file.py input.mp4 speech.mp3 output_lipsynced.mp4
+"""
+
+import asyncio
+import os
+import sys
+import cv2
+from pathlib import Path
+
+from decart.lipsync import RealtimeLipsyncClient
+
+
+async def process_lipsync(video_path: str, audio_path: str, output_path: str):
+    """Process video and audio through Decart's lipsync API."""
+
+    # Get API key
+    api_key = os.getenv("DECART_API_KEY")
+    if not api_key:
+        print("Error: Please set DECART_API_KEY environment variable")
+        return
+
+    # Initialize client
+    client = RealtimeLipsyncClient(api_key=api_key)
+
+    print(f"Processing: {video_path} + {audio_path} -> {output_path}")
+
+    # Connect to server
+    await client.connect()
+    print("Connected to Decart Lipsync server")
+
+    try:
+        # Load audio data - handle different formats
+        with open(audio_path, "rb") as f:
+            audio_data = f.read()
+
+        # Send audio to server (server handles chunking)
+        await client.send_audio(audio_data)
+
+        # Load video frames and convert to RGB
+        frame_count = 0
+        cap = cv2.VideoCapture(video_path)
+        while True:
+            ret, frame = cap.read()
+            if not ret:
+                break
+            frame_count += 1
+
+            # Convert from BGR (OpenCV default) to RGB
+            rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            print(rgb_frame.shape)
+            await client.send_video_frame(rgb_frame)
+        cap.release()
+
+        # Receive lipsynced output
+        out = cv2.VideoWriter(
+            output_path,
+            cv2.VideoWriter_fourcc(*"mp4v"),
+            client._video_fps,
+            (rgb_frame.shape[1], rgb_frame.shape[0]),
+        )
+        for i in range(frame_count):
+            try:
+
+                video_frame, audio_frame = await client.get_synced_output(timeout=1.0)
+                bgr_frame = cv2.cvtColor(video_frame, cv2.COLOR_RGB2BGR)
+                out.write(bgr_frame)
+            except asyncio.TimeoutError:
+                print(f"Warning: Timeout at frame {i}")
+                break
+        out.release()
+
+    finally:
+        await client.disconnect()
+        print("Disconnected from server")
+
+
+async def main():
+    """Main entry point."""
+    if len(sys.argv) != 4:
+        print("Usage: python lipsync_file.py <video_file> <wav_audio_file> <output_file>")
+        print("Example: python lipsync_file.py input.mp4 speech.wav output_lipsynced.mp4")
+        sys.exit(1)
+
+    video_path = sys.argv[1]
+    audio_path = sys.argv[2]
+    output_path = sys.argv[3]
+
+    # Check input files exist
+    if not Path(video_path).exists():
+        print(f"Error: Video file not found: {video_path}")
+        sys.exit(1)
+
+    if not Path(audio_path).exists():
+        print(f"Error: Audio file not found: {audio_path}")
+        sys.exit(1)
+
+    # Process the files
+    await process_lipsync(video_path, audio_path, output_path)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

pyproject.toml

@@ -35,6 +35,9 @@ dependencies = [
     "aiohttp>=3.9.0",
     "aiofiles>=23.0.0",
     "pydantic>=2.0.0",
+    "websockets>=15.0.1",
+    "numpy>=2.0.2",
+    "opencv-python>=4.11.0.86",
 ]
 
 [project.optional-dependencies]