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2026-03-02T07-29-06_auto_memory/memories.db-wal

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Nicholai Vogel 2026-03-02 00:29:06 -07:00
parent 31ff29916a
commit 3ac8b23477
2 changed files with 10 additions and 13 deletions
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memory/memories.db-wal
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23
tools/meeting-notes/dist/index.js vendored
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@ -27,20 +27,17 @@ function getEnvList(key) {
const value = getEnv(key);
return value.split(',').map(s => s.trim()).filter(Boolean);
}
async function transcribeWithOnnxAsr(wavPath) {
const PYWHISPER_PYTHON = '/home/nicholai/.local/share/hyprwhspr/venv/bin/python3';
const PYWHISPER_MODEL = 'small.en';
async function transcribeWithWhisper(wavPath) {
return new Promise((resolve) => {
const python = spawn('python3', [
const python = spawn(PYWHISPER_PYTHON, [
'-c',
`
import sys
import os
os.environ['ORT_LOGGING_LEVEL'] = '4'
sys.path.insert(0, '/usr/lib/hyprwhspr/lib/src')
import onnx_asr
model = onnx_asr.load_model('nemo-parakeet-tdt-0.6b-v3', quantization='int8')
with open('${wavPath}', 'rb') as f:
result = model.transcribe(f.read())
print(result if isinstance(result, str) else result.get('text', ''))
from pywhispercpp.model import Model
model = Model('${PYWHISPER_MODEL}')
segments = model.transcribe('${wavPath}')
print(' '.join(seg.text for seg in segments))
`.trim(),
]);
let output = '';
@ -53,7 +50,7 @@ print(result if isinstance(result, str) else result.get('text', ''))
});
python.on('close', (code) => {
if (code !== 0) {
console.error(`[TRANSCRIBE] onnx_asr failed: ${error.slice(0, 200)}`);
console.error(`[TRANSCRIBE] pywhispercpp failed (exit ${code}): ${error.slice(0, 200)}`);
resolve('');
return;
}
@ -240,7 +237,7 @@ class MeetingNotesBot {
console.error(`[FFMPEG] Failed with code ${code}`);
return;
}
const text = await transcribeWithOnnxAsr(wavFile);
const text = await transcribeWithWhisper(wavFile);
unlinkSync(wavFile);
if (text) {
const segment = {