API PaLM: guida rapida al testo con Node.js

Visualizza su ai.google.dev

Prova un blocco note di Colab

Visualizza blocco note su GitHub

Ottenere una chiave API

Per iniziare, devi ottenere una chiave API. Impostala come variabile di ambiente:

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

Installazione del client API

In una nuova directory, inizializza un progetto Node.js utilizzando npm e installa Libreria 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.

Successivamente, dovrai installare la libreria client 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.

Generazione dei messaggi in corso...

Crea un nuovo file index.js e aggiungi il codice seguente, fornendo la chiave API attraverso la variabile di ambiente 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

Quindi esegui lo script:

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
]