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A basic Flask API interface for OpenAI GPT3

gpt3-api 최신버젼 다운로드

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# OpenAI Flask API Wrapper

A basic Flask API interface for OpenAI GPT3, ChatGPT, Whisper and Dalle2 including training and examples.

> Features:

- Simple, intuitive codebase - can be extended with ease. 
- `Gunicorn` support
- `Docker` support
- Includes both prediction and training GPT3 services
- Includes support for OpenAI moderation for validating responses

## API

| Route  | Method | Info | 
|    --- | ---  | --- | 
| `/` | **GET**    | Get current GPT3 model params
| `/api/v1/predict`    | **POST**    | Predict GPT3 prompt completion
| `/api/v1/image`    | **POST**    | Generate Dalle-2 prompt image
| `/api/v1/chat`    | **POST**    | ChatGPT wrapper including context support
| `/api/v1/transcribe`    | **POST**    | OpenAI Whisper Transcription

> **Before you run** - Set your OpenAI API Key in .env file

```bash
$ echo 'OPENAI_API_KEY={Your key here}' .env
```

## Quick Start with Docker

```bash
$ git clone https://github.com/assafelovic/gpt3-api.git
$ cd gpt3-api
```

```bash
$ docker-compose up --build  
```

The API server will start using the PORT `5005`.

## Usage example
Client sends post request with the params `prompts` (String) and optional params to  `http://127.0.0.1:5005/api/v1/predict`
```
POST /api/v1/predict
{
  prompt: "What is the meaning of life?",
  moderation: true,
  max_tokens: 128, 
  temperature: 0.4
}
```

and the server responds with the predicted result:

```
{
    "result": {
        "result": "The meaning of life is to find fulfillment and purpose through living a life of value and making a positive contribution to the world.",
        "temperature": 0.4,
        "max_tokens": 128,
        "model": "text-davinci-003",
        "moderation": {
            "id": "modr-6paOy8KtNPYQdPzDamKYvhQ1GQUGD",
            "model": "text-moderation-004",
            "results": [
                {
                    "categories": {
                        "hate": false,
                        "hate/threatening": false,
                        "self-harm": false,
                        "sexual": false,
                        "sexual/minors": false,
                        "violence": false,
                        "violence/graphic": false
                    },
                    "category_scores": {
                        "hate": 3.4930130254906544e-07,
                        "hate/threatening": 8.722193106658338e-11,
                        "self-harm": 2.9834368309167303e-09,
                        "sexual": 4.3741639643712915e-08,
                        "sexual/minors": 5.4334679117085116e-11,
                        "violence": 5.354117149636295e-08,
                        "violence/graphic": 1.3893468597814262e-09
                    },
                    "flagged": false
                }
            ]
        },
    },
    "success": true
}
```

## Installation

> **Step #1** - Clone the project

```bash
$ git clone https://github.com/assafelovic/gpt3-api.git
$ cd gpt3-api
```

> **Step #2** - Install dependencies
```bash
$ pip install -r requirements.txt
```

> **Step #3** - setup `flask` command for our app

```bash
$ export FLASK_APP=run.py
$ export FLASK_ENV=development
```

> **Step #4** - start development server at `localhost:5005`

```bash
$ flask run
```

---

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