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feat(chatModels): load model from localstorage

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ItzCrazyKns
2024-05-02 12:14:26 +05:30
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@ -59,13 +59,11 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
4. Rename the `sample.config.toml` file to `config.toml`. For Docker setups, you need only fill in the following fields:
- `CHAT_MODEL`: The name of the LLM to use. Like `llama3:latest` (using Ollama), `gpt-3.5-turbo` (using OpenAI), etc.
- `CHAT_MODEL_PROVIDER`: The chat model provider, either `openai` or `ollama`. Depending upon which provider you use you would have to fill in the following fields:
- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
- `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
- `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**
- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
- `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
**Note**: You can change these and use different models after running Perplexica as well from the settings page.
**Note**: You can change these after starting Perplexica from the settings dialog.
- `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)