//./src/sentimentSchema.ts
// The following is a schema definition for determining the sentiment of a some user input.
export interface SentimentResponse {
    /** The sentiment of the text. */
    sentiment: "negative" | "neutral" | "positive";
}

//./src/main.ts
import * as fs from "fs";
import * as path from "path";
import dotenv from "dotenv";
import * as typechat from "typechat";
import {SentimentResponse} from "./sentimentSchema";

// Load environment variables.
dotenv.config ({ path: path.join (__dirname, "../.env") });

// Create a language model based on the environment variables.
const model = typechat.createLanguageModel (process.env);

// Load up the contents of our "Response" schema.
const schema = fs.readFileSync (path.join (__dirname, "sentimentSchema.ts"), "utf8");
const translator = typechat.createJsonTranslator<SentimentResponse>(model, schema, "SentimentResponse");

// Process requests interactively.
typechat.processRequests ("😀>", /*inputFile*/undefined, async (request) => {
    const response = await translator.translate (request);
    if (!response.success) {
        console.log (response.message);
        return;
    }
    console.log (`The sentiment is ${response.data.sentiment}`);
});