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app.py

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+import json
+import os
+
+import gradio as gr
+import numpy as np
+import spaces
+import torch
+from qwen_tts import Qwen3TTSModel
+
+# 0.6B matches the voices' origin; switch to Qwen/Qwen3-TTS-12Hz-1.7B-Base for
+# higher quality at ~2.5x the GPU time per clip.
+MODEL_ID = "Qwen/Qwen3-TTS-12Hz-0.6B-Base"
+MAX_CHARS = 1500
+
+VOICES_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "voices")
+with open(os.path.join(VOICES_DIR, "transcripts.json"), encoding="utf-8") as f:
+    TRANSCRIPTS = json.load(f)
+VOICES = sorted(TRANSCRIPTS.keys())
+LANGUAGES = ["English", "Chinese", "Japanese", "Korean", "German",
+             "French", "Russian", "Portuguese", "Spanish", "Italian"]
+
+model = Qwen3TTSModel.from_pretrained(
+    MODEL_ID,
+    device_map="cuda",
+    dtype=torch.bfloat16,
+)
+
+_prompt_cache = {}
+
+
+def _get_voice_prompt(voice: str):
+    if voice not in _prompt_cache:
+        _prompt_cache[voice] = model.create_voice_clone_prompt(
+            ref_audio=os.path.join(VOICES_DIR, f"{voice}.wav"),
+            ref_text=TRANSCRIPTS[voice],
+        )
+    return _prompt_cache[voice]
+
+
+@spaces.GPU(duration=90)
+def tts(text: str, voice: str, language: str):
+    text = (text or "").strip()
+    if not text:
+        raise gr.Error("Enter some text to speak.")
+    if len(text) > MAX_CHARS:
+        raise gr.Error(f"Text too long ({len(text)} chars, max {MAX_CHARS}).")
+    if voice not in TRANSCRIPTS:
+        raise gr.Error(f"Unknown voice '{voice}'. Available: {', '.join(VOICES)}")
+
+    wavs, sr = model.generate_voice_clone(
+        text=text,
+        language=language,
+        voice_clone_prompt=_get_voice_prompt(voice),
+    )
+    audio = np.asarray(wavs[0], dtype=np.float32)
+    return sr, audio
+
+
+demo = gr.Interface(
+    fn=tts,
+    inputs=[
+        gr.Textbox(label="Text", lines=4, placeholder="What should the voice say?"),
+        gr.Dropdown(VOICES, value=VOICES[0], label="Voice"),
+        gr.Dropdown(LANGUAGES, value="English", label="Language"),
+    ],
+    outputs=gr.Audio(label="Generated speech"),
+    title="EsfandTTS — Qwen3-TTS voice clone",
+    description="Cloned voices via Qwen3-TTS 0.6B Base. Also callable as an API (see the 'Use via API' link below).",
+    flagging_mode="never",
+)
+
+demo.launch()

requirements.txt

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+qwen-tts==0.1.1
+transformers==4.57.3
+accelerate==1.12.0
+huggingface-hub<1.0