Hi, I am running into some trouble following the written tutorial of Thomas Frank’s “How I Use AI to take perfect notes…without typing” video and I trying to use the heavy code option and am getting stuck on the openai_chat step. I am getting the following error:
Code Error
SyntaxError: The requested module ‘openai’ does not provide an export named ‘Configuration’
The create transcription step worked fine for me.
Down below is the code I have in the openai_chat step:
import { Configuration, OpenAIApi } from “openai”
import { encode, decode } from “gpt-3-encoder”export default defineComponent({
props: {
openai: {
type: “app”,
app: “openai”,
}
},
async run({steps, $}) {// Import the transcript from the previous step const transcript = steps.create_transcription.$return_value.transcription // Set the max number of input tokens const maxTokens = 8000 // Initialize OpenAI const openAIkey = this.openai.$auth.api_key const configuration = new Configuration({ apiKey: openAIkey, }); const openai = new OpenAIApi(configuration); // Split the transcript into shorter strings if needed, based on GPT token limit function splitTranscript(encodedTranscript, maxTokens) { const stringsArray = [] let currentIndex = 0 while (currentIndex < encodedTranscript.length) { let endIndex = Math.min(currentIndex + maxTokens, encodedTranscript.length) // Find the next period while (endIndex < encodedTranscript.length && decode([encodedTranscript[endIndex]]) !== ".") { endIndex++ } // Include the period in the current string if (endIndex < encodedTranscript.length) { endIndex++ } // Add the current chunk to the stringsArray const chunk = encodedTranscript.slice(currentIndex, endIndex) stringsArray.push(decode(chunk)) currentIndex = endIndex } return stringsArray } const encoded = encode(transcript) const stringsArray = splitTranscript(encoded, maxTokens) const result = await sendToChat(stringsArray) return result // Function to send transcript string(s) to Chat API async function sendToChat (stringsArray) { const resultsArray = [] for (let arr of stringsArray) { // Define the prompt const prompt = `Analyze the transcript provided below, then provide the following:Key “title:” - add a title.
Key “summary” - create a summary.
Key “main_points” - add an array of the main points. Limit each item to 100 words, and limit the list to 10 items.
Key “action_items:” - add an array of action items. Limit each item to 100 words, and limit the list to 5 items.
Key “follow_up:” - add an array of follow-up questions. Limit each item to 100 words, and limit the list to 5 items.
Key “stories:” - add an array of an stories, examples, or cited works found in the transcript. Limit each item to 200 words, and limit the list to 5 items.
Key “arguments:” - add an array of potential arguments against the transcript. Limit each item to 100 words, and limit the list to 5 items.
Key “related_topics:” - add an array of topics related to the transcript. Limit each item to 100 words, and limit the list to 5 items.
Key “sentiment” - add a sentiment analysisEnsure that the final element of any array within the JSON object is not followed by a comma.
Transcript:
${arr}` let retries = 3 while (retries > 0) { try { const completion = await openai.createChatCompletion({ model: "gpt-3.5-turbo", messages: [{role: "user", content: prompt}, {role: "system", content: `You are an assistant that only speaks JSON. Do not write normal text.Example formatting:
{
“title”: “Notion Buttons”,
“summary”: “A collection of buttons for Notion”,
“action_items”: [
“item 1”,
“item 2”,
“item 3”
],
“follow_up”: [
“item 1”,
“item 2”,
“item 3”
],
“arguments”: [
“item 1”,
“item 2”,
“item 3”
],
“related_topics”: [
“item 1”,
“item 2”,
“item 3”
]
“sentiment”: “positive”
}
`}],
temperature: 0.2
});resultsArray.push(completion) break } catch (error) { if(error.response && error.response.status === 500) { retries-- if (retries == 0) { throw new Error("Failed to get a response from OpenAI Chat API after 3 attempts.") } console.log("OpenAI Chat API returned a 500 error. Retrying...") } else { throw error } } } } return resultsArray }},
})