ChatGPT Using simple Requets Model

This app is to give an overview of how to access Openai Models using simple python code for any purpose.

• This repository contains several method to do this.
• Also in this repository you'll find integration of several different Openai Models.

you can understand the request parameters and send create your own requesrests or you can Directly copy bellow commands and run them in there particular environment.

API Reference

Endpoint: https://api.openai.com

Get all Models

  GET /v1/models

Parameter	Type	Description
Authorization	string	Required. Your API key

on Bash/shell

curl https://api.openai.com/v1/models \
  -H "Authorization: Bearer $OPENAI_API_KEY"

In python

import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.Model.list()

Model Retrival

  GET v1/models/{model}

Parameter	Type	Description
Authorization	string	Required. Your API key
model	string	Required. Model you want to retrive

In shell/bash

curl https://api.openai.com/v1/models/text-davinci-003 \
  -H "Authorization: Bearer $OPENAI_API_KEY"

In Python

import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.Model.retrieve("text-davinci-003")

Chat Completeion (ChatGPT-3)

  POST v1/chat/completions

Inside Header

Parameter	Type	Description
Content-Type	string	Required. application/json
Authorization	string	Required. Your API key

Inside Body

Parameter	Type	Description
model	string	Required. Model you are using ("gpt-3.5-turbo")
messages	string	Required. Need to pass message to GPT with the role in array -> [{"role": "user", "content": "Hello!"}]

In shell/Bash

curl https://api.openai.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "gpt-3.5-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

In python

import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")

completion = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
    {"role": "user", "content": "Hello!"}
  ]
)

print(completion.choices[0].message)