# Running Tailchat Assistant in Docker

1. Clone the project:
```bash
git clone https://git.povario.com/powermaker450/Tailchat-Assistant && cd Tailchat-Assistant
```

2. Create the `.env` file from the example file:
```bash
mv .env.example .env
```
3. **Make sure that the "Openapi Platform Plugin" and "App Integration" plugins are enabled.** Then [follow the instructions here to create an App.](https://tailchat.msgbyte.com/docs/advanced-usage/openapp/create)

4. Open up the `.env` file with your preffered text editor and populate the file:
- **NOTE: Due to the way Docker organizes containers and networks, your `HOST` and `API_ENDPOINT` variables will likely not be `localhost`. Use the container names or IP's instead.**

```bash
HOST=http://tailchat-core:11000
# wherever your Tailchat server is running

ID=
# your bot ID

SECRET=
# Your bot secret

API_ENDPOINT=http://localai:8080/v1
# The OpenAI-compatible endpoint for the bot to send messsages to. Defaults to "http://localhost:8080/v1"
# e.x. "http://localhost:8080/v1", "https://api.openai.com/v1"

API_KEY=none
# Your API key here for OpenAI/LocalAI. Defaults to the string "none".
# MAKE SURE to fill this in with your OpenAI API Key or a key you may have set for LocalAI.
# If you didn't set the API key for LocalAI, you may leave this blank.

TEXT_MODEL=gpt-4
# The model to query when sending text messages. Defaults to "gpt-4"
# e.x. "gpt-3", "gpt-4"

CREATE_IMAGE_MODEL=stablediffusion-cpp
# The model to use when creating images. Defaults to "stablediffusion-cpp",
# e.x. "dall-e-3", "stablediffusion-cpp"

ANALYZE_IMAGE_MODEL=gpt-4-vision-preview
# The model to use when analyzing images. Defaults to "gpt4-vision-preview".
# e.x. "gpt-4-vision-preview", "llava"

ALLOWED_CHAT=
# The ID of the channel that the bot is allowed to respond in.
# The bot will always respond to Direct Messages.

SAFE_WORD=\
# When this character/string is detected anywhere in a message, the bot won't respond to it.
# Defaults to "\".
```

5. After populating the .env file, start the container:
```bash
docker compose up -d
```

Docker will build the container image and start the project. Use `docker compose logs -f` to make sure everything is working and no errors have occured.