My First Playground

// Import openai and numpy-parser libraries var openai = require('openai'); var np = require('numpy-parser'); // Export a function called endpoint exports.endpoint = async function(request, response) { // Get the input strings and OpenAI secret key from the payload var string1 = request.body.string1; var string2 = request.body.string2; var openai_key = request.body.openai_key; // Set the OpenAI secret key as an environment variable process.env.OPENAI_KEY = openai_key; // Create an embedding object with your input strings var resp = await openai.Embedding.create( input=[string1, string2], engine="text-similarity-davinci-001"); // Extract the embeddings from the response var embedding_a = resp['data'][0]['embedding']; var embedding_b = resp['data'][1]['embedding']; // Calculate the dot product of the embeddings var similarity_score = np.dot(embedding_a, embedding_b); // Return the similarity score as JSON response.end(JSON.stringify({similarity: similarity_score})); }