aiplaygrounds/aipoet.html at main · NYUMusEdLab/aiplaygrounds · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Poetic Visualizer</title>
    <style>
        body {
            margin: 0;
            overflow: hidden;
            background-color: black;
            color: white;
            font-family: sans-serif;
        }
        #overlay {
            position: absolute;
            top: 10px;
            left: 10px;
            z-index: 10;
            background: rgba(0, 0, 0, 0.6);
            padding: 10px;
            border-radius: 8px;
            max-height: 90vh;
            overflow-y: auto;
        }
        .entry {
            margin-bottom: 20px;
        }
        .verse-line {
            font-style: italic;
            margin: 5px 0;
        }
        .translation {
            color: #ccc;
            font-size: 14px;
        }
        .image {
            max-width: 100%;
            height: auto;
            margin-top: 10px;
        }
        #debug {
            position: absolute;
            bottom: 10px;
            left: 10px;
            z-index: 10;
            background: rgba(255, 255, 255, 0.1);
            padding: 10px;
            border-radius: 8px;
            font-size: 12px;
            max-width: 40vw;
            max-height: 30vh;
            overflow-y: auto;
            white-space: pre-wrap;
        }
    </style>
</head>
<body>
<div id="overlay">
    <label for="poet-select">Choose a Poet:</label>
    <select id="poet-select">
        <option value="Li Bai">Li Bai</option>
        <option value="Du Fu">Du Fu</option>
        <option value="Wang Wei">Wang Wei</option>
        <option value="Li Qingzhao">Li Qingzhao</option>
        <option value="Tao Yuanming">Tao Yuanming</option>
    </select>
    <button onclick="startRecognition()">🎤 Start Speaking</button>
    <div id="entries"></div>
</div>
<div id="debug"></div>

<script>
    const entriesContainer = document.getElementById("entries");
    const poetSelect = document.getElementById("poet-select");
    const debugPanel = document.getElementById("debug");

    function logDebug(message) {
        const now = new Date().toLocaleTimeString();
        debugPanel.textContent += `\n[${now}] ${message}`;
        debugPanel.scrollTop = debugPanel.scrollHeight;
    }

    async function generatePoeticVerse(transcript, poet) {
        const prompt = `Rewrite the following sentence as a poetic verse in the style of the Chinese poet ${poet}: \"${transcript}\" Return only the poetic line.`;
        logDebug(`Prompt for verse: ${prompt}`);
        const response = await fetch("https://api.openai.com/v1/chat/completions", {
            method: "POST",
            headers: {
                "Content-Type": "application/json",
                "Authorization": `Bearer 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`
            },
            body: JSON.stringify({
                model: "gpt-3.5-turbo",
                messages: [{ role: "user", content: prompt }],
                temperature: 0.8
            })
        });
        const data = await response.json();
        logDebug(`Verse response: ${JSON.stringify(data)}`);
        return data.choices[0].message.content.trim();
    }

    async function translateToChinese(text) {
        const prompt = `Translate the following poetic verse into simplified Mandarin Chinese: \"${text}\"`;
        logDebug(`Translation prompt: ${prompt}`);
        const response = await fetch("https://api.openai.com/v1/chat/completions", {
            method: "POST",
            headers: {
                "Content-Type": "application/json",
                "Authorization": `Bearer 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`
            },
            body: JSON.stringify({
                model: "gpt-3.5-turbo",
                messages: [{ role: "user", content: prompt }],
                temperature: 0.5
            })
        });
        const data = await response.json();
        logDebug(`Translation response: ${JSON.stringify(data)}`);
        return data.choices[0].message.content.trim();
    }

    async function generateImage(prompt) {
        logDebug(`Image prompt: ${prompt}`);
        const response = await fetch("https://api.openai.com/v1/images/generations", {
            method: "POST",
            headers: {
                "Content-Type": "application/json",
                "Authorization": `Bearer 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`
            },
            body: JSON.stringify({
                prompt,
                n: 1,
                size: "1024x1024"
            })
        });
        const data = await response.json();
        logDebug(`Image response URL: ${data.data[0].url}`);
        return data.data[0].url;
    }

    async function handleTranscription(transcript) {
        logDebug(`Transcribed speech: ${transcript}`);
        const poet = poetSelect.value;
        const verse = await generatePoeticVerse(transcript, poet);
        const chinese = await translateToChinese(verse);
        const imgPrompt = `${verse}, traditional Chinese ink painting style`;
        const imgUrl = await generateImage(imgPrompt);

        const entry = document.createElement("div");
        entry.className = "entry";

        const verseLine = document.createElement("div");
        verseLine.className = "verse-line";
        verseLine.textContent = verse;

        const translation = document.createElement("div");
        translation.className = "translation";
        translation.textContent = chinese;

        const image = document.createElement("img");
        image.className = "image";
        image.src = imgUrl;
        image.alt = verse;

        entry.appendChild(verseLine);
        entry.appendChild(translation);
        entry.appendChild(image);
        entriesContainer.appendChild(entry);
    }

    function startRecognition() {
        const recognition = new (window.SpeechRecognition || window.webkitSpeechRecognition)();
        recognition.lang = 'en-US';
        recognition.interimResults = false;
        recognition.maxAlternatives = 1;
        recognition.start();
        logDebug("Speech recognition started.");

        recognition.onresult = (event) => {
            const transcript = event.results[0][0].transcript;
            handleTranscription(transcript);
        };

        recognition.onerror = (event) => {
            logDebug("Speech recognition error: " + event.error);
            alert("Speech recognition error: " + event.error);
        };
    }
</script>
</body>
</html>