pajeronda / openai_response

openai chatgpt service for Home Assistant

Original Project: openai_response

In addition to having updated the code for access to the new openai APIs, I added the ability to set the maximum number of tokens for each service call.

Installation

1. Copy the openai_response folder to your Home Assistant's custom_components directory. If you don't have a custom_components directory, create one in the same directory as your configuration.yaml file.

2. Add the following lines to your Home Assistant configuration.yaml file or create openai.yaml into /packages if you have already configured it, and put:

sensor:
  - platform: openai_response
    api_key: YOUR_OPENAI_API_KEY
    model: "gpt-3.5-turbo" # Optional, defaults to "gpt-3.5-turbo"
    name: "hassio_openai_response" # Optional, defaults to "hassio_openai_response" # Optional
    instructions: "Act like a virtual assistant and provide clear information" # Optional
    max_tokens: 350 # Optional

Replace YOUR_OPENAI_API_KEY with your actual OpenAI API key.

3. Restart Home Assistant.

Usage

Create an input_text.gpt_input entity in Home Assistant to serve as the input for the GPT-3 model. Add the following lines to your configuration.yaml file:

input_text:
  gpt_input:
    name: GPT-3 Input

Note you can also create this input_text via the device helpers page!

If you are creating via YAML, you will need to unpdate input text to developer tools page or restart Home assistant.

To generate a response from GPT-3, update the input_text.gpt_input entity with the text you want to send to the model. The generated response will be available as an attribute of the sensor.hassio_openai_response entity.

To use it in your scripts or automations just set it like this (you can also use templates):

service: openai_response.openai_input
data:
  max_tokens: 350
  model: gpt-3.5-turbo
  Instructions: You are a helpful assistant
  prompt: what can you do?

Example

To display the GPT-3 input and response in your Home Assistant frontend, add the following to your ui-lovelace.yaml file or create a card in the Lovelace UI:

type: grid
square: false
columns: 1
cards:
  - type: entities
    entities:
      - entity: input_text.gpt_input
  - type: markdown
    content: '{{ state_attr(''sensor.hassio_openai_response'', ''response_text'') }}'
    title: ChatGPT Response

Now you can type your text in the GPT-3 Input field, and the generated response will be displayed in the response card.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer: This project is not affiliated with or endorsed by OpenAI. Use the GPT-3 /4 API at your own risk, and be aware of the API usage costs associated with the OpenAI API.