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<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GLM-TTS - Test Console</title>
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
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border: 1px solid #30363d;
border-radius: 8px;
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color: #e2e0eb;
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textarea { resize: vertical; min-height: 100px; }
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.char-count {
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.file-upload.has-file { border-color: #34d399; background: rgba(52,211,153,0.06); }
.file-upload input { display: none; }
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.file-upload-text strong { color: #34d399; }
.file-name { font-size: 0.8rem; color: #34d399; margin-top: 0.5rem; }
.clone-note {
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color: #8b949e;
margin-top: 0.75rem;
padding: 0.5rem 0.75rem;
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.play-ref { display: none; margin-top: 0.75rem; }
.play-ref.visible { display: block; }
.play-ref audio { width: 100%; }
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button.generate {
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.result-area { margin-top: 1.25rem; }
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audio { width: 100%; margin: 0.75rem 0; }
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.intensity-row {
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.intensity-row label { margin-bottom: 0; flex-shrink: 0; }
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.hint {
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color: #8b949e;
margin-top: 0.3rem;
}
</style>
</head>
<body>
<div class="container">
<div class="header-row">
<h1>GLM-TTS Test Console</h1>
<span id="healthBadge" class="health-badge loading">checking…</span>
</div>
<p class="subtitle">Zhipu AI GLM-TTS — Zero-shot bilingual voice cloning (Chinese & English)</p>
<!-- Text input -->
<div class="card">
<div class="card-title">Text to Synthesize</div>
<div class="field">
<label for="inputText">Text (max 500 characters) — Chinese, English, or mixed</label>
<textarea id="inputText" placeholder="Enter the text you want to convert to speech…">The quick brown fox jumped over the lazy dog.</textarea>
<div class="char-count" id="charCount">45 / 500</div>
</div>
</div>
<!-- Voice reference -->
<div class="card">
<div class="card-title">Voice Reference (Required)</div>
<div class="field">
<div class="file-upload" id="dropZone">
<input type="file" id="voiceFile" accept=".wav,.mp3,audio/wav,audio/mpeg">
<div class="file-upload-icon">🎤</div>
<div class="file-upload-text">
<strong>Click to upload</strong> or drag & drop a WAV / MP3 file
</div>
<div class="file-name" id="fileName"></div>
</div>
<div class="clone-note">
GLM-TTS clones the speaker identity from a 3–10 second reference clip.
Clear speech with minimal background noise gives the best results.
Both Chinese and English references are supported.
</div>
<div class="play-ref" id="playRef">
<div class="play-ref-label">Reference preview:</div>
<audio controls id="refAudio"></audio>
</div>
</div>
<!-- Optional prompt text -->
<div class="field">
<label for="promptText">Reference transcript <span style="font-weight:400;color:#6e7681">(optional — improves speaker similarity)</span></label>
<textarea id="promptText" style="min-height:60px"
placeholder="Paste the exact text spoken in the reference audio clip…"></textarea>
<p class="hint">Leave blank if unknown. Providing the correct transcript significantly improves voice cloning quality.</p>
</div>
</div>
<!-- Emotion -->
<div class="card">
<div class="card-title">Emotion</div>
<div class="emotion-grid" id="emotionGrid"></div>
<div class="intensity-row">
<label>Intensity</label>
<input type="range" id="intensity" min="1" max="100" value="50">
<span class="intensity-val" id="intensityVal">50</span>
</div>
</div>
<!-- Audio adjustments -->
<div class="card">
<div class="card-title">Audio Adjustments</div>
<div class="row">
<div class="field">
<label for="volume">Volume (1–100)</label>
<input type="number" id="volume" value="75" min="1" max="100">
</div>
<div class="field">
<label for="speed">Speed (-5 to 5)</label>
<input type="number" id="speed" value="0" min="-5" max="5" step="0.5">
</div>
<div class="field">
<label for="pitch">Pitch (-5 to 5)</label>
<input type="number" id="pitch" value="0" min="-5" max="5" step="0.5">
</div>
</div>
</div>
<!-- Auth -->
<div class="card">
<div class="card-title">Authentication</div>
<label for="apiKey">API Key (if configured on server)</label>
<input type="text" id="apiKey" placeholder="Leave empty if no auth required">
</div>
<button class="generate" id="generateBtn" onclick="generate()">Generate Speech</button>
<div class="result-area hidden" id="resultArea">
<div class="card">
<div class="card-title">Result</div>
<div id="resultContent"></div>
</div>
</div>
</div>
<script>
const emotions = [
{ id: "neutral", label: "Neutral", icon: "\u{1F610}" },
{ id: "happy", label: "Happy", icon: "\u{1F60A}" },
{ id: "sad", label: "Sad", icon: "\u{1F622}" },
{ id: "angry", label: "Angry", icon: "\u{1F620}" },
{ id: "fear", label: "Fear", icon: "\u{1F628}" },
{ id: "surprise", label: "Surprise", icon: "\u{1F632}" },
{ id: "excited", label: "Excited", icon: "\u{1F929}" },
{ id: "calm", label: "Calm", icon: "\u{1F60C}" },
{ id: "anxious", label: "Anxious", icon: "\u{1F630}" },
{ id: "hopeful", label: "Hopeful", icon: "\u{1F31F}" },
{ id: "melancholy", label: "Melancholy", icon: "\u{1F614}" },
{ id: "disgust", label: "Disgust", icon: "\u{1F922}" },
];
let selectedEmotion = "neutral";
let voiceBase64 = null;
// Build emotion grid
const emotionGrid = document.getElementById("emotionGrid");
emotions.forEach(e => {
const chip = document.createElement("div");
chip.className = "emotion-chip" + (e.id === selectedEmotion ? " selected" : "");
chip.dataset.emotion = e.id;
chip.onclick = () => selectEmotion(chip);
chip.innerHTML = '<span class="em-icon">' + e.icon + '</span>' + e.label;
emotionGrid.appendChild(chip);
});
function selectEmotion(el) {
document.querySelectorAll(".emotion-chip").forEach(c => c.classList.remove("selected"));
el.classList.add("selected");
selectedEmotion = el.dataset.emotion;
}
// Intensity slider
const intensitySlider = document.getElementById("intensity");
const intensityVal = document.getElementById("intensityVal");
intensitySlider.addEventListener("input", () => {
intensityVal.textContent = intensitySlider.value;
});
// Character counter
const inputText = document.getElementById("inputText");
const charCount = document.getElementById("charCount");
inputText.addEventListener("input", updateCharCount);
function updateCharCount() {
const len = inputText.value.length;
charCount.textContent = len + " / 500";
charCount.className = "char-count" + (len > 500 ? " over" : "");
}
updateCharCount();
// File upload / drag-drop
const dropZone = document.getElementById("dropZone");
const voiceFile = document.getElementById("voiceFile");
const fileNameEl= document.getElementById("fileName");
dropZone.addEventListener("click", () => voiceFile.click());
dropZone.addEventListener("dragover", e => {
e.preventDefault();
dropZone.style.borderColor = "#34d399";
});
dropZone.addEventListener("dragleave", () => {
dropZone.style.borderColor = "";
});
dropZone.addEventListener("drop", e => {
e.preventDefault();
dropZone.style.borderColor = "";
if (e.dataTransfer.files.length) handleFile(e.dataTransfer.files[0]);
});
voiceFile.addEventListener("change", () => {
if (voiceFile.files.length) handleFile(voiceFile.files[0]);
});
function handleFile(file) {
fileNameEl.textContent = file.name + " (" + (file.size / 1024).toFixed(1) + " KB)";
dropZone.classList.add("has-file");
const refUrl = URL.createObjectURL(file);
document.getElementById("refAudio").src = refUrl;
document.getElementById("playRef").classList.add("visible");
const reader = new FileReader();
reader.onload = () => {
const bytes = new Uint8Array(reader.result);
let binary = "";
for (let i = 0; i < bytes.length; i++) binary += String.fromCharCode(bytes[i]);
voiceBase64 = btoa(binary);
};
reader.readAsArrayBuffer(file);
}
async function generate() {
const btn = document.getElementById("generateBtn");
const resultArea = document.getElementById("resultArea");
const resultContent = document.getElementById("resultContent");
const text = inputText.value.trim();
if (!text) { alert("Please enter some text to synthesize."); return; }
if (!voiceBase64) { alert("Please upload a voice reference file."); return; }
btn.disabled = true;
btn.textContent = "Generating…";
resultArea.classList.remove("hidden");
resultContent.innerHTML =
'<div class="status"><span class="spinner"></span> Cloning voice and synthesizing audio…</div>';
const payload = {
input_text: text,
voice_to_clone_sample: voiceBase64,
emotion_set: [selectedEmotion],
intensity: parseInt(intensitySlider.value) || 50,
volume: parseInt(document.getElementById("volume").value) || 75,
speed_adjust: parseFloat(document.getElementById("speed").value) || 0,
pitch_adjust: parseFloat(document.getElementById("pitch").value) || 0,
};
try {
const hdrs = { "Content-Type": "application/json" };
const apiKey = document.getElementById("apiKey").value.trim();
if (apiKey) hdrs["Authorization"] = "Bearer " + apiKey;
const resp = await fetch("/ConvertTextToSpeech", {
method: "POST",
headers: hdrs,
body: JSON.stringify(payload),
});
if (!resp.ok) {
const err = await resp.json();
resultContent.innerHTML =
'<div class="error-box"><strong>' +
(err.error_code || "Error") + ":</strong> " + err.error +
(err.details ? "<br><span style='opacity:.75'>" + err.details + "</span>" : "") +
"</div>";
return;
}
const blob = await resp.blob();
const url = URL.createObjectURL(blob);
resultContent.innerHTML =
'<audio controls autoplay src="' + url + '"></audio>' +
'<a class="download-link" href="' + url + '" download="glm_tts_output.wav">Download WAV</a>';
} catch (e) {
resultContent.innerHTML =
'<div class="error-box">Request failed: ' + e.message + "</div>";
} finally {
btn.disabled = false;
btn.textContent = "Generate Speech";
}
}
async function checkHealth() {
const badge = document.getElementById("healthBadge");
try {
const resp = await fetch("/health");
const data = await resp.json();
if (data.model_loaded) {
badge.textContent = "Model Ready (" + data.device + ")";
badge.className = "health-badge ok";
} else {
badge.textContent = "Loading Model…";
badge.className = "health-badge loading";
setTimeout(checkHealth, 5000);
}
} catch {
badge.textContent = "Offline";
badge.className = "health-badge error";
setTimeout(checkHealth, 10000);
}
}
checkHealth();
</script>
</body>
</html>
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