This project is my playaround project on the langchain_demo project using the Elixir LangChain library and Phoenix LiveView.
To start your own Elixir AI personal assistent project:
-
Run
mix setupto install and setup dependencies -
Setup your
export OPENAI_API_KEY=, you can find more here (Also make sure you have some $$ for tokens, lagnchain creates really hard errors if you miss that.) -
Start Phoenix endpoint with
mix phx.serveror inside IEx withiex -S mix phx.server
Now you can visit localhost:4400 from your browser.
Visit the Conversations page for having a conversation with ChatGPT.
You can cancel a request in flight, delete a message, edit a message, and resubmit the conversation.
Features:
- Conversations are written to a SQLite database in the project directory.
- Conversations are performed using the Elixir LangChain library.
- Uses Phoenix LiveView Async Operations.
- Use ctrl+enter to submit a message.
Dog coachen is using An Agent can be sortly described as:
Agent: a language model is used as a reasoning engine to determine which actions to take and in which order.
Visit the Dog Coach page to meet with your own Dog coach that really loves dog.
Suggestion: Tell a bit about you dog and ask "hur kan jag förbättra vovves hälsa?" to get started and go from there!
Example:
Features:
- Context around how the AI is configured is hidden from the user.
- Data about the user is written in a structured format by the AI into a local SQLite database.
- Historical fitness log entries are stored and fetched from the local database.
- Provides a simple but powerful working example of how to create an AI agent in Elixir that integrates with your app.
- renovation-helper keep track of all projects, and help where needed
- yoga trainer, as the normal trainer but yoga, can you integrate video support?
- add lang-support(sv + en)