michael louis sweet-language

## gpu_server.py
"""
Speaklab combined GPU server: gaze correction + background matting.

Single endpoint handles both pipelines, sharing download/normalize/encode steps.
Optimized: downscale for face detection, numpy compositing (no intermediate FFmpeg).

POST / — process video
  video_url, supabase_url, supabase_key (required)
  gaze: bool (default false), gaze_x, gaze_y
  matting: bool (default false), bg_mode, bg_color

## gaze_server.py
"""
Vast.ai GPU server for LivePortrait eye contact correction.

Takes a video where the person is looking at their screen (not camera),
and corrects their gaze to look directly at the camera.

Uses LivePortrait's keypoint manipulation: modifies eye keypoints
(indices 11, 15) to redirect gaze, then renders with full pipeline.

Pipeline:

## vastai_server.py
"""
Vast.ai GPU model server for RVM video matting.

Simple HTTP server that receives matting jobs and returns results.
Vast.ai PyWorker proxies requests to this server.

Proxy-Matte Workflow:
1. Download video
2. FFmpeg downscale to 540p proxy (skip if source ≤540p)
3. RVM inference on proxy → grayscale alpha matte video

## test_matting.py
import json, urllib.request
u = "https://pjxynrqzydcxstnpsbtg.supabase.co"
v = u + "/storage/v1/object/public/video-matting/"
v += "temp/bc175e3e-dd17-42e2-81b1-dd92b200173f/input.webm"
k = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9."
k += "eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6InBqeH"
k += "lucnF6eWRjeHN0bnBzYnRnIiwicm9sZSI6InNlcn"
k += "ZpY2Vfcm9sZSIsImlhdCI6MTczMTk4MTYyNiwiZXh"
k += "wIjoyMDQ3NTU3NjI2fQ.S1v0czmrqPqSKx7LYMB"
k += "cmRBXnEFmmiaKz2tXJOHPXtI"
	"""
	Speaklab combined GPU server: gaze correction + background matting.

	Single endpoint handles both pipelines, sharing download/normalize/encode steps.
	Optimized: downscale for face detection, numpy compositing (no intermediate FFmpeg).

	POST / — process video
	video_url, supabase_url, supabase_key (required)
	gaze: bool (default false), gaze_x, gaze_y
	matting: bool (default false), bg_mode, bg_color
	"""
	Vast.ai GPU server for LivePortrait eye contact correction.

	Takes a video where the person is looking at their screen (not camera),
	and corrects their gaze to look directly at the camera.

	Uses LivePortrait's keypoint manipulation: modifies eye keypoints
	(indices 11, 15) to redirect gaze, then renders with full pipeline.

	Pipeline:
	"""
	Vast.ai GPU model server for RVM video matting.

	Simple HTTP server that receives matting jobs and returns results.
	Vast.ai PyWorker proxies requests to this server.

	Proxy-Matte Workflow:
	1. Download video
	2. FFmpeg downscale to 540p proxy (skip if source ≤540p)
	3. RVM inference on proxy → grayscale alpha matte video
	import json, urllib.request
	u = "https://pjxynrqzydcxstnpsbtg.supabase.co"
	v = u + "/storage/v1/object/public/video-matting/"
	v += "temp/bc175e3e-dd17-42e2-81b1-dd92b200173f/input.webm"
	k = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9."
	k += "eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6InBqeH"
	k += "lucnF6eWRjeHN0bnBzYnRnIiwicm9sZSI6InNlcn"
	k += "ZpY2Vfcm9sZSIsImlhdCI6MTczMTk4MTYyNiwiZXh"
	k += "wIjoyMDQ3NTU3NjI2fQ.S1v0czmrqPqSKx7LYMB"
	k += "cmRBXnEFmmiaKz2tXJOHPXtI"