I got the Intel integrated GPU SYCL transcription working with real-time streaming on the UC1 Pro deploy. That's the hardware path people actually want to run on.
It was a bigger lift than I expected. Across seven files I made 1,435 additions and 368 deletions. The main server file got updated, the Dockerfile for the ultimate iGPU path got rewritten, and the web interface got adjusted on the frontend side too. The docker compose file and deployment docs were updated to match. I also bumped requirements.txt with whatever the new dependencies are. The whisperx Dockerfile is the key piece, and the static frontend got touched alongside it.
Also today I added theme screenshots to the docs and updated the unicorn-amanuensis README to show off the dark, light, and magic themes. Four files, thirteen additions and three deletions. Just visual cleanup but it makes the project look polished instead of rough around the edges.
Across seven files I made 1,435 additions and 368 deletions.
The iGPU path being live means people without dedicated GPUs can actually run transcription at real-time speeds. That's the whole point of this stack. No NVIDIA required. Intel's SYCL support was the missing piece and now it's there.
The deployment docs got the same treatment, so the UC1 Pro guide reflects the actual working configuration now. No outdated instructions pointing people down the wrong path.
It's just two commits today but both of them land real stuff. The streaming transcription on iGPU is the headline, and the README cleanup is the cherry on top.