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DEPLOY.md
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# Deployment Guide
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This guide describes how to deploy the application to a new server.
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## Prerequisites
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* **Linux Server** (Ubuntu 22.04+ recommended)
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* **NVIDIA GPU**: Required for translation, embeddings, and NER services.
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* **NVIDIA Container Toolkit**: Must be installed to allow Docker to access the GPU.
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* **Docker** & **Docker Compose**: Latest versions.
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* **Git**: To clone the repository.
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* **External Service**: An instance of [AllTalk](https://github.com/erew123/alltalk_tts) running externally or on the host (port 7851 by default).
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## Deployment Steps
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1. **Clone the Repository**
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```bash
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git clone <your-repo-url>
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cd <your-repo-name>
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```
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2. **Configure Environment Variables**
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Copy the example configuration file:
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```bash
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cp .env.example .env
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```
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Edit `.env` and set secure passwords and configuration:
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```bash
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nano .env
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```
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* Change `POSTGRES_PASSWORD` and `DB_PASS` to a strong unique password.
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* Change `SECRET_KEY` to a long random string.
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* Verify `ALLTALK_URL` points to your AllTalk instance (default assumes host machine access).
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3. **Start the Services**
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Run the following command to build and start the application:
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```bash
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docker compose up -d --build
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```
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4. **Database Initialization**
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The database will automatically initialize on the first run using the scripts in `init-db/`. This may take a few minutes. Check logs with:
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```bash
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docker compose logs -f db
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```
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5. **Verify Deployment**
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Access the application at `http://<your-server-ip>:8001`.
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## Important Notes
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* **Models**: The application mounts `./models` and `./hf_cache` to persist AI models. On the first run, it will attempt to download necessary models (NLLB, BERT, etc.), which requires significant bandwidth and time.
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* **Data Persistence**: Database data is stored in `./pgdata` (mapped in docker-compose). Ensure this directory is backed up.
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* **Security**: Ensure port 5432 (Postgres) and 6379 (Redis) are firewall-protected and not exposed to the public internet unless intended (Docker maps them to the host network).
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