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Panoramica
Questa guida rapida dimostra come utilizzare l'API PaLM, che consente di accedere a I più recenti modelli linguistici di grandi dimensioni (LLM), con l'SDK PaLM Node.js specifico per casi d'uso incentrati sui dialoghi, come i chatbot.
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>"
Installare il client API
In una nuova directory, inizializza un progetto Node.js utilizzando npm e installa
Libreria google-auth:
npm init -ynpm 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 0.905s
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.
Quindi, installa la libreria client:
npm install @google-ai/generativelanguage
+ @google-ai/generativelanguage@1.0.1 updated 1 package and audited 74 packages in 2.274s 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.
Ottenere una chiave API
Segui le istruzioni sulla configurazione pagina per creare una chiave API per la tua app. Avrai bisogno di questa chiave API in al passaggio successivo.
Genera messaggi
Crea un nuovo file index.js e aggiungi il codice seguente, fornendo il tuo
Chiave API PaLM tramite la variabile di ambiente API_KEY:
%%writefile index.js
const { DiscussServiceClient } = require("@google-ai/generativelanguage");
const { GoogleAuth } = require("google-auth-library");
const MODEL_NAME = "models/chat-bison-001";
const API_KEY = process.env.API_KEY;
const client = new DiscussServiceClient({
authClient: new GoogleAuth().fromAPIKey(API_KEY),
});
async function main() {
const result = await client.generateMessage({
model: MODEL_NAME, // Required. The model to use to generate the result.
temperature: 0.5, // Optional. Value `0.0` always uses the highest-probability result.
candidateCount: 1, // Optional. The number of candidate results to generate.
prompt: {
// optional, preamble context to prime responses
context: "Respond to all questions with a rhyming poem.",
// Optional. Examples for further fine-tuning of responses.
examples: [
{
input: { content: "What is the capital of California?" },
output: {
content:
`If the capital of California is what you seek,
Sacramento is where you ought to peek.`,
},
},
],
// Required. Alternating prompt/response messages.
messages: [{ content: "How tall is the Eiffel Tower?" }],
},
});
console.log(result[0].candidates[0].content);
}
main();
Overwriting index.js
Quindi esegui lo script:
node index.js
The Eiffel Tower is 324 meters tall, It's a sight to behold, tall and not small. It's made of iron and weighs 10,100 tons, It's a wonder of the world, it's a must-see for all.
Continua la conversazione
Per continuare una conversazione dopo un messaggio di richiesta iniziale, devi aggiungere il messaggio del candidato restituito e la richiesta successiva:
%%writefile index.js
const { DiscussServiceClient } = require("@google-ai/generativelanguage");
const { GoogleAuth } = require("google-auth-library");
const MODEL_NAME = "models/chat-bison-001";
const API_KEY = process.env.API_KEY;
const client = new DiscussServiceClient({
authClient: new GoogleAuth().fromAPIKey(API_KEY),
});
async function main() {
let first = "Tell me a one short animal fact."
let messages = [{ content: first }];
const result = await client.generateMessage({
model: MODEL_NAME,
prompt: { messages },
});
console.log("User:\n\n", first, "\n\n")
console.log("Palm:\n\n", result[0].candidates[0].content, "\n\n");
let second = "Oh, where do those live?"
messages.push({ content: result[0].candidates[0].content });
messages.push({ content: second });
const secondResult = await client.generateMessage({
model: MODEL_NAME,
prompt: { messages },
});
console.log("User:\n\n", second, "\n\n")
console.log("Palm:\n\n", secondResult[0].candidates[0].content, "\n\n");
}
main();
Overwriting index.js
node index.js
User: Tell me a one short animal fact. Palm: The world's smallest mammal is the bumblebee bat, which weighs less than a penny. User: Oh, where do those live? Palm: The bumblebee bat is found in the rainforests of Thailand, Myanmar, and Laos. It is a small, nocturnal bat that feeds on insects. The bumblebee bat is the smallest mammal in the world, weighing only about 2 grams. It is about the size of a bumblebee, hence its name. The bumblebee bat is a very important part of the rainforest ecosystem. It helps to control insect populations and pollinate plants.