fee9b9acb1
Separate ASR (2 workers) from summary/RAG post-processing, add LightRAG chat API, batch upload fixes, and local model mounts for Docker deployment. Co-authored-by: Cursor <cursoragent@cursor.com>
58 lines
2.8 KiB
PowerShell
58 lines
2.8 KiB
PowerShell
# Подготовка локальной папки models/ для офлайн-развёртывания.
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# Использование: .\scripts\setup_local_models.ps1
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$ErrorActionPreference = "Stop"
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$ProjectRoot = Split-Path $PSScriptRoot -Parent
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$ModelsDir = Join-Path $ProjectRoot "models"
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$NltkBackup = Join-Path (Split-Path $ProjectRoot -Parent) ".nltk_data_backup"
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Write-Host "==> Папка моделей: $ModelsDir"
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New-Item -ItemType Directory -Force -Path $ModelsDir | Out-Null
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# 1. NLTK (punkt, punkt_tab)
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$NltkTarget = Join-Path $ModelsDir "nltk_data"
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if (-not (Test-Path "$NltkTarget\tokenizers\punkt")) {
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if (Test-Path $NltkBackup) {
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Write-Host "==> Копирование NLTK data из $NltkBackup"
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New-Item -ItemType Directory -Force -Path $NltkTarget | Out-Null
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Copy-Item -Recurse -Force "$NltkBackup\*" $NltkTarget
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} else {
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Write-Warning "NLTK backup не найден: $NltkBackup"
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}
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} else {
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Write-Host "==> NLTK data уже на месте"
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}
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# 2. HuggingFace модели из Docker-образа (если есть)
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$HubTarget = Join-Path $ModelsDir "huggingface\hub"
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$Marker = Join-Path $HubTarget "models--Systran--faster-whisper-large-v3"
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if (-not (Test-Path $Marker)) {
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$Image = "transcription-transcription:latest"
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$Exists = docker images -q $Image 2>$null
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if ($Exists) {
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Write-Host "==> Извлечение моделей из Docker-образа $Image (~5 GB, несколько минут)..."
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docker rm -f model_extract 2>$null | Out-Null
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docker create --name model_extract $Image | Out-Null
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New-Item -ItemType Directory -Force -Path (Split-Path $HubTarget -Parent) | Out-Null
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docker cp model_extract:/root/.cache/huggingface (Join-Path $ModelsDir "huggingface")
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docker rm model_extract | Out-Null
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Write-Host "==> Модели Whisper/Alignment/Diarization скопированы"
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} else {
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Write-Warning "Образ $Image не найден. Сначала соберите: docker compose build"
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Write-Warning "Или запустите: python scripts/download_models.py (скачает модели из интернета)"
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}
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} else {
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Write-Host "==> HuggingFace модели уже на месте"
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}
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# 3. Sentence-transformers для RAG (скачивается при первом запуске, опционально предзагрузка)
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Write-Host ""
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Write-Host "Готово. Структура:"
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Get-ChildItem $ModelsDir -Directory | ForEach-Object {
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$size = (Get-ChildItem $_.FullName -Recurse -File -ErrorAction SilentlyContinue | Measure-Object Length -Sum).Sum
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Write-Host (" {0}: {1:N2} GB" -f $_.Name, ($size / 1GB))
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}
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Write-Host ""
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Write-Host "Запуск сервиса: docker compose up --build -d"
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