API PaLM: Guide de démarrage rapide pour l'API Text avec Node.js

Afficher sur ai.google.dev

Essayer un notebook Colab

Afficher le notebook sur GitHub

Obtenir une clé API

Pour commencer, vous devez obtenir une clé API. Définissez-la en tant que variable d'environnement:

import os
os.environ["API_KEY"] = "<YOUR API KEY>"

Installer le client API

Dans un nouveau répertoire, initialisez un projet Node.js à l'aide de npm et installez la Bibliothèque google-auth:

npm init -y

npm install google-auth-library

Wrote to /content/package.json:

{
  "name": "content",
  "version": "1.0.0",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "@google-ai/generativelanguage": "^1.0.1",
    "google-auth-library": "^9.0.0"
  },
  "devDependencies": {},
  "description": ""
}


+ google-auth-library@9.0.0
updated 1 package and audited 74 packages in 1.105s

3 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities
npm WARN content@1.0.0 No description
npm WARN content@1.0.0 No repository field.

Vous devez ensuite installer la bibliothèque cliente Generative Language:

npm install @google-ai/generativelanguage

+ @google-ai/generativelanguage@1.0.1
updated 1 package and audited 74 packages in 2.126s

3 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities
npm WARN content@1.0.0 No description
npm WARN content@1.0.0 No repository field.

Générer des messages

Créez un fichier index.js et ajoutez le code suivant en fournissant votre clé API. via la variable d'environnement API_KEY:

%%writefile index.js
const { TextServiceClient } =
  require("@google-ai/generativelanguage").v1beta2;

const { GoogleAuth } = require("google-auth-library");

const MODEL_NAME = "models/text-bison-001";
const API_KEY = process.env.API_KEY;

const client = new TextServiceClient({
  authClient: new GoogleAuth().fromAPIKey(API_KEY),
});

const prompt = "Repeat after me: one, two,";

client
  .generateText({
    model: MODEL_NAME,
    prompt: {
      text: prompt,
    },
  })
  .then((result) => {
    console.log(JSON.stringify(result, null, 2));
  });

Overwriting index.js

Exécutez ensuite le script suivant:

node index.js

[
  {
    "candidates": [
      {
        "safetyRatings": [
          {
            "category": "HARM_CATEGORY_DEROGATORY",
            "probability": "NEGLIGIBLE"
          },
          {
            "category": "HARM_CATEGORY_TOXICITY",
            "probability": "NEGLIGIBLE"
          },
          {
            "category": "HARM_CATEGORY_VIOLENCE",
            "probability": "NEGLIGIBLE"
          },
          {
            "category": "HARM_CATEGORY_SEXUAL",
            "probability": "NEGLIGIBLE"
          },
          {
            "category": "HARM_CATEGORY_MEDICAL",
            "probability": "NEGLIGIBLE"
          },
          {
            "category": "HARM_CATEGORY_DANGEROUS",
            "probability": "NEGLIGIBLE"
          }
        ],
        "output": "One, two, three, four."
      }
    ],
    "filters": [],
    "safetyFeedback": []
  },
  null,
  null
]