generated from john/python-template
79 lines
2.0 KiB
Markdown
79 lines
2.0 KiB
Markdown
# Transcription
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Historical document transcription system for family-history documents.
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The app lets you upload a document image/PDF, queues a background transcription job, and then shows job status and results in a web UI.
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## What the app does
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- Upload document files (`.jpg`, `.jpeg`, `.png`, `.tif`, `.tiff`, `.pdf`)
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- Persist document + job records in SQLite
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- Process jobs in a background worker (`queued -> processing -> transcribed/failed`)
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- Store transcript text (or failure detail)
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- Show status and results in the NiceGUI interface
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## Quick start
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### 1) Install dependencies
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```bash
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uv sync
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```
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### 2) Configure environment
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Create a `.env` file in the project root (minimum required setting shown):
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```env
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OPENROUTER_API_KEY=your_openrouter_api_key
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```
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Optional settings (defaults shown):
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```env
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DATABASE_URL=sqlite:///./transcription.db
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UPLOAD_DIR=./uploads
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PROMPT_DIR=./prompts
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WORKER_MAX_RETRIES=0
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WORKER_RETRY_BACKOFF_SECONDS=0
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WORKER_PROVIDER_TIMEOUT_SECONDS=20
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WORKER_MIN_TRANSCRIPTION_CHARS=0
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WORKER_MIN_TRANSCRIPTION_LINES=0
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WORKER_FAIL_ON_FINISH_REASON_LENGTH=false
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```
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### 3) Run the app
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```bash
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uv run uvicorn transcription.app:create_app --factory --reload
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```
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### 4) Open in browser
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- GUI: [http://[IP_ADDRESS]:8000/ui](http://[IP_ADDRESS]:8000/ui)
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- Health check: [http://[IP_ADDRESS]:8000/healthz](http://[IP_ADDRESS]:8000/healthz)
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## How to navigate the GUI
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- **Upload page** (`/ui`)
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- Select a supported file to upload.
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- The app creates a queued transcription job.
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- Use the **View jobs** link to inspect progress.
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- **Jobs page** (`/ui/jobs`)
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- See all jobs and their status.
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- Use **Refresh** to reload current states.
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- Open a specific job to see details.
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- **Job detail page** (`/ui/jobs/{job_id}`)
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- Shows job metadata and status.
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- Displays transcript text when successful.
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- Displays failure detail when transcription fails.
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## Prompt artifacts
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Prompt files are stored in `prompts/` and loaded from `PROMPT_DIR` (default: `./prompts`).
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The canonical MVP prompt is:
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- `prompts/transcribe_document.md`
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