GPA tested by Argusic Runner

What the test found

GPA v1.5 native PyTorch ASR, TTS, and training all run on CPU with weights downloaded from HuggingFace. ASR transcribes Chinese and English correctly; TTS produces valid 16 kHz mono audio from text plus a reference clip; training executes a forward/backward step.

Everything works on CPU with real model weights from HuggingFace (2.2 GB model + 1.8 GB tokenizer). ASR transcribes both Chinese and English. TTS produces valid 4-second audio. Training runs 1 step with loss 0.65. Standalone unit tests for decode_policies.py and prompts.py pass. No GPU available but all CPU paths fully functional.

Argusic installed GPA in 3 minutes and launched it; verification reached Verified running for real. 3 of 3 recorded errors were worked through (see the timeline below).

Runsall runs of GPA

This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.