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Code-along | 2023-09-14 | An Introduction to GPT & Whisper with the OpenAI API in Python

While chatting with the GPT AI is commonly done via the ChatGPT web interface, today we are looking at using the API. This is great for programming and automation workflows (some ideas later). As well as GPT, we'll also make use of Whisper, OpenAI's speech-to-text AI, and langchain, a programming framework for working with generative AI.

We'll cover:

  • Getting set up with an OpenAI developer account and integration with Workspace.
  • Calling the chat functionality in the OpenAI API and langchain.
  • Generating a transcript of speech from an mp3 file.
  • Summarizing a transcript.
  • Asking questions about the context of a transcript.

The solution notebook is available in the file browser as notebook-solution.ipynb. Use the Files tool in the left-hand sidebar to access this.

Before you begin

The instructions for creating an OpenAI developer account, and adding your OpenAI API key as an environment variable in Workspace are covered in getting-started.ipynb.

Task 0: Setup

We need to install the langchain package. This is currently being developed quickly, sometimes with breaking changes, so we fix the version.

The langchain depends on a recent version of typing_extensions, so we need to update that package, again fixing the version.

Instructions

Run the following code to install langchain and typing_extensions.

# Install the langchain package
!pip install langchain==0.0.286
Hidden output 
# Update the typing_extensions package
!pip install typing_extensions==4.7.1
Hidden output

In order to chat with GPT, we need first need to load the openai and os packages to set the API key from the environment variables you just created.

Instructions

  • Import the os package.
  • Import the openai package.
  • Set openai.api_key to the OPENAI_API_KEY environment variable.
# Import the os package
import os

# Import the openai package
import openai

# Set openai.api_key to the OPENAI_API_KEY environment variable
os.environ["OPENAI_API_KEY"] = openai.api_key

We need to import the langchain package. It has many submodules, so to save typing later, we'll also import some specific functions from those submodules.

Instructions

  • Import the langchain package as lc.
  • From the langchain.chat_models module, import ChatOpenAI.
  • From the langchain.schema module, import AIMessage, HumanMessage, SystemMessage.
  • From the langchain.prompts module, import ChatPromptTemplate.
# Import the langchain package as lc
import langchain as lc

# From the langchain.chat_models module, import ChatOpenAI
from langchain.chat_models import ChatOpenAI

# From the langchain.schema module, import AIMessage, HumanMessage, SystemMessage
from langchain.schema import AIMessage, HumanMessage, SystemMessage

# From the langchain.prompts module, import ChatPromptTemplate
from langchain.prompts import ChatPromptTemplate
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