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Running on Zero
Commit History
20 days ago
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Add Gradio meeting summarizer app
Recording -> faster-whisper (word timestamps) -> sherpa-onnx speaker diarization -> word-level speaker alignment -> structured summary with a GGUF model run in-process by llama.cpp (Ollama cannot run on a Gradio Space). - app.py: upload, speaker count, progress by stage, speaker timeline, speaker renaming and merging, transcript and summary tabs, report and transcript downloads. Results live in the browser session only. - Thread count fixed to the Space's 2 vCPUs; overridable with the CPU_THREADS variable. - Models are fetched at startup and loaded one at a time. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>0db4022