Dockerize the bashar bot

.dockerignore

@@ -0,0 +1,15 @@
+.git
+.gitignore
+.env
+.venv
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.log
+transcript.log
+bot.log
+README.md
+.vscode
+.idea

.env.example

@@ -0,0 +1,6 @@
+DISCORD_TOKEN=your_discord_token_here
+WHISPER_MODEL_SIZE=small
+LOG_LEVEL=INFO
+TRANSCRIPT_LOG_ENABLED=true
+HOTWORD_ENABLED=true
+GOODBOY_USER_ID=94578724413902848

DOCKER_DEPLOYMENT.md

@@ -0,0 +1,107 @@
+# Docker Deployment Guide
+
+## Quick Start
+
+1. **Copy environment file:**
+   ```bash
+   cp .env.example .env
+   ```
+
+2. **Edit .env with your Discord token:**
+   ```bash
+   # Edit .env and add your DISCORD_TOKEN
+   ```
+
+3. **Build and run with Docker Compose:**
+   ```bash
+   docker-compose up -d
+   ```
+
+4. **View logs:**
+   ```bash
+   docker-compose logs -f basharbot
+   ```
+
+## Portainer Deployment
+
+### Method 1: Using Portainer Stacks
+
+1. Log into Portainer
+2. Go to **Stacks** → **Add stack**
+3. Name it `basharbot`
+4. Choose **Upload** and upload `docker-compose.yml`
+5. Add environment variables in the **Environment variables** section:
+   - `DISCORD_TOKEN`: Your Discord bot token
+   - `WHISPER_MODEL_SIZE`: small (or tiny/base/medium/large)
+   - `LOG_LEVEL`: INFO
+6. Click **Deploy the stack**
+
+### Method 2: Using Git Repository
+
+1. In Portainer, go to **Stacks** → **Add stack**
+2. Choose **Repository**
+3. Enter your Git repository URL
+4. Set compose path: `docker-compose.yml`
+5. Add environment variables
+6. Click **Deploy the stack**
+
+## Configuration
+
+All configuration is done via environment variables in `.env`:
+
+- `DISCORD_TOKEN`: Your Discord bot token (required)
+- `WHISPER_MODEL_SIZE`: Model size for speech recognition (tiny/small/base/medium/large)
+- `LOG_LEVEL`: Logging level (DEBUG/INFO/WARNING/ERROR)
+- `TRANSCRIPT_LOG_ENABLED`: Enable transcript logging (true/false)
+- `HOTWORD_ENABLED`: Enable hotword detection (true/false)
+- `GOODBOY_USER_ID`: Special user ID for goodboy audio
+
+## Volumes
+
+- `./logs`: Bot and transcript logs
+- `./data`: Persistent data
+- `whisper-models`: Cached Whisper AI models
+
+## Commands
+
+```bash
+# Start the bot
+docker-compose up -d
+
+# Stop the bot
+docker-compose down
+
+# View logs
+docker-compose logs -f
+
+# Restart the bot
+docker-compose restart
+
+# Rebuild after code changes
+docker-compose up -d --build
+
+# Remove everything including volumes
+docker-compose down -v
+```
+
+## Troubleshooting
+
+**Bot won't start:**
+- Check logs: `docker-compose logs basharbot`
+- Verify DISCORD_TOKEN is set correctly in .env
+
+**Audio issues:**
+- Ensure ffmpeg is installed in container (included in Dockerfile)
+- Check opus library is available
+
+**High memory usage:**
+- Use smaller Whisper model: `WHISPER_MODEL_SIZE=tiny`
+- Reduce model compute type in stt.py
+
+## Updates
+
+To update the bot:
+```bash
+git pull
+docker-compose up -d --build
+```

Dockerfile

@@ -0,0 +1,31 @@
+# Use Python 3.11 slim image
+FROM python:3.11-slim
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    ffmpeg \
+    libopus0 \
+    libopus-dev \
+    espeak \
+    libespeak-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application files
+COPY bot.py .
+COPY stt.py .
+COPY goodboy.ogg .
+
+# Create volume mount points for logs and data
+VOLUME ["/app/logs", "/app/data"]
+
+# Run the bot
+CMD ["python", "-u", "bot.py"]

docker-compose.yml

@@ -0,0 +1,31 @@
+version: '3.8'
+
+services:
+  basharbot:
+    build: .
+    container_name: basharbot
+    restart: unless-stopped
+    environment:
+      - DISCORD_TOKEN=MTAxNDE5NDAxNzM0NjUzMTQxOQ.GY6P0P.jnCq9V4SbeO1HmkNuzWCSM47CnrIsdko_3sCCw
+      - WHISPER_MODEL_SIZE=small
+      - LOG_LEVEL=DEBUG
+      - TRANSCRIPT_LOG_ENABLED=true
+      - HOTWORD_ENABLED=true
+      - GOODBOY_USER_ID=94578724413902848
+      - TRANSCRIPT_LOG_PATH=/app/logs/transcript.log
+    volumes:
+      - ./logs:/app/logs
+      - ./data:/app/data
+      - whisper-models:/root/.cache/huggingface
+    networks:
+      - bot-network
+    labels:
+      - "com.centurylinklabs.watchtower.enable=true"
+
+volumes:
+  whisper-models:
+    driver: local
+
+networks:
+  bot-network:
+    driver: bridge