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Übersicht
In dieser Kurzanleitung wird gezeigt, wie Sie die PaLM API verwenden, die Ihnen Zugriff auf Die neuesten Large Language Models von Google, speziell mit dem PaLM Node.js SDK für dialogorientierte Anwendungsfälle wie Chatbots.
API-Schlüssel abrufen
Dazu müssen Sie zuerst einen API-Schlüssel anfordern. Legen Sie sie als Umgebungsvariable fest:
import os
os.environ["API_KEY"] = "<YOUR API KEY>"
API-Client installieren
Initialisieren Sie in einem neuen Verzeichnis ein Node.js-Projekt mit npm und installieren Sie die
google-auth-Bibliothek:
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.
Installieren Sie als Nächstes die Clientbibliothek:
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.
API-Schlüssel abrufen
Folgen Sie der Anleitung für die Einrichtung , um einen API-Schlüssel für Ihre App zu erstellen. Sie benötigen diesen API-Schlüssel in zum nächsten Schritt.
Mitteilungen erstellen
Erstellen Sie eine neue Datei index.js und fügen Sie den folgenden Code hinzu.
PaLM API-Schlüssel über die Umgebungsvariable 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
Führen Sie dann das Skript aus:
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.
Unterhaltung fortsetzen
Wenn Sie eine Unterhaltung nach einer ersten Aufforderungsnachricht fortsetzen möchten, müssen Sie Folgendes anhängen: zurückgegebene mögliche Nachricht sowie Ihren nächsten Prompt:
%%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.