Exciting news! 🚨
The ChatGPT API is now available!
• ChatGPT has been out for a while, accessible through web playground, and a plus subscription for priority access.
• Now, developers can leverage the API to build powerful applications.
Here's how to use it in Python ↓
• You can set your OpenAI API key using a `.env` file.
• Then use the following code snippet to give it queries and get responses.
• Here's how the output would look like:
• If you have been a user of GPT-3 APIs, you might notice something different in the snippet.
• First, it is not under Completions API but rather under a new ChatCompletions API.
• Also there is a messages parameter which is what we have to use for handling conversations.
• There are three roles for messages.
- system
- user
- assistant
• The system role is used to define the base instructions to set the behaviour or personality of the bot.
• The user role is used to provide the prompt content from the user.
• The assistant role is used to provide the content for the assistant.
• Initially we can give a few sample content messages to set the initial conversation. As we have done in the snippet to make it a code assistant bot.
• As the conversation progresses, we can add the queries and responses to these messages to keep track of past conversation.
• The models of ChatGPT are not available under the renowned names but rather under their technical GPT-3.5 name.
• There are two models present:
- `gpt-3.5-turbo`
- `gpt-3.5-turbo-0301`
• The pricing of this API is $0.002 per 1K tokens.
• If you know `davinci` which is the most advanced GPT-3 model, this API costs 10 times less than davinci does.
• It's price is equal to GPT-3 `curie` Model.
• Now that we have the ChatGPT as an API, the organizations that develop Chatbot applications would be the first to benefit.
• As ChatGPT would provide the human aspect to the conversations and make them more fluent!
Stay tuned for more information and tips!
Thanks!
