• dockerize use

Here is a JavaScript function that maps an array of strings to lowercase first letter:

javascript
Copy code
function mapArrayToLowercaseFirstLetterarr {
return arr.mapstr => {
const lowercaseFirstLetter = str.charAt0.toLowerCase + str.slice1;
return lowercaseFirstLetter;
};
}
Here's an example usage:

javascript
Copy code
const inputArray = "Apple", "Banana", "Orange";
const mappedArray = mapArrayToLowercaseFirstLetterinputArray;
console.logmappedArray;
// Output: "apple", "banana", "orange"

In your another project :
docker-chatgpt

Input: *
Output: The administrator has disabled the export capability of this model.
Project: [soulteary/sparrow](https://github.com/soulteary/sparrow).
Talk is Cheap, Let's coding together.

docker config:

version: '3'

services:

  chatgpt-client:
    image: soulteary/chatgpt
    restart: always
    ports:
      - 8090:8090
    environment:
      # service port
      APP_PORT: 8090
      # the ChatGPT client domain, keep the same with chatgpt-client: `APP_HOSTNAME` option
      APP_HOSTNAME: "http://localhost:8090"
      # the ChatGPT backend upstream, or connect a sparrow dev server `"http://host.docker.internal:8091"`
      APP_UPSTREAM: "http://sparrow:8091"

  sparrow:
    image: soulteary/sparrow
    restart: always
    environment:
      # [Basic Settings]
      # => The ChatGPT Web Client Domain
      WEB_CLIENT_HOSTNAME: "http://localhost:8090"
      # => Service port, default: 8091
      # APP_PORT: 8091

      # [Private OpenAI API Server Settings] *optional
      # => Enable OpenAI 3.5 API
      ENABLE_OPENAI_API: "on"
      # => OpenAI API Key
      OPENAI_API_KEY: "sk-bkbWNsYhIsU27l2Tp11eHT3BlbkFJoMdXQJKfwHAfpGW2VhzK"
      FEATURE_NEW_UI: "on"
      # enable the models for switch
      ENABLE_OPENAI_OFFICIAL_MODEL: "on"
      # use new look UI, need to set the model switcher, and plugin system to `"on"`
      ENABLE_MODEL_SWITCH: "on"
      ENABLE_PLUGIN: "on"
    logging:
        driver: "json-file"
        options:
            max-size: "10m"

• Prompt management (Predict, Hotload)
• Retrieval management (Text Similar, Text Exact Match, Vector)
• Datasource management (Predict, Muti-type)
• Pipeline management (pre, post job, pipeline)

Connectors are responsible for connecting different data sources in the sparrow project, and the project should implement some basic scene connectors.

• OpenAI API, Demonstrates how to use some SDKs to get results and use streaming output to give users the same behavior as the original software. https://github.com/soulteary/sparrow/releases/tag/v0.5.0
• MidJourney, Demonstrates how to use WS to interact with services and stream content output. https://github.com/soulteary/sparrow/releases/tag/v0.6.0
• FlagStudio, Demonstrates how to use Multiple API calls, and make stream content output. https://github.com/soulteary/sparrow/releases/tag/v0.7.0
• Claude, Demonstrates how to use WS to interact with services and stream content output. https://github.com/soulteary/sparrow/releases/tag/v0.10.0
• Private Raw API, Demonstrate how to directly interact with the simplest HTTP API service. https://github.com/soulteary/sparrow/releases/tag/v0.14.0
• Azure OpenAI API
• Local Dictionary, Demonstrate how to use local presets.
• Database, etc..

• Update UI, add model
• Access OpenAI API

There are more and more official functions, and configuration files should be used for management.

• Provide basic web service capabilities
• Current Openai ChatGPT Basic API format compatibility

Or must it v4?

So basically, I'd use a plugin in the UI, the UI connects to sparrow, sparrow uses GPT-3.5.