const { createApp, ref, onMounted, computed, watch } = Vue;
import { HfInference } from "https://cdn.skypack.dev/@huggingface/inference@latest";

const app = createApp({
    setup() {
        const token = ref(localStorage.getItem("token") || "");
        const models = ref(["openai/whisper-tiny", "facebook/wav2vec2-large-960h-lv60-self", "openai/whisper-large-v2"]);
        const selectedAudio = ref("clear-audio-1.wav");
        const selectedModel = ref("");
        const loading = ref(false);
        const didErrorOccur = ref(false)
        const audioFiles = ref(["clear-audio-1.wav", "clear-audio-2.wav",
            "unclear-audio-1.wav", "unclear-audio-2.wav"]);
        const recognizedText = ref("")

        const statusMessage = computed(() => {
            if (loading.value) return "Loading..."
            return "Ready"
        })

        const run = async () => {
            reset()
            loading.value = true;
            try {
                const hf = new HfInference(token.value);
                const audioData = await (await fetch(selectedAudio.value)).arrayBuffer()
                const result = await hf.automaticSpeechRecognition({
                    data: audioData,
                    model: selectedModel.value
                });
                console.log(result)
                recognizedText.value = result.text
                loading.value = false;
            } catch (e) {
                console.error(e);
                loading.value = false;
                didErrorOccur.value = true
            }
        };
        const reset = () => {
            didErrorOccur.value = false
            loading.value = false
            recognizedText.value = ""
        }

        watch(selectedAudio, () => {
            reset()
        })

        watch(selectedModel, () => {
            reset()
        })

        onMounted(async () => {
            const localStorageToken = localStorage.getItem("token")
            if (localStorageToken) {
                token.value = localStorageToken;
            }
            selectedModel.value = models.value[0]
        });

        return {
            token,
            run,
            audioFiles,
            selectedAudio,
            models,
            selectedModel,
            loading,
            statusMessage,
            recognizedText
        };
    },
});

app.mount("#app");