| import gradio as gr |
| import torch |
| import torchaudio |
| from transformers import VitsModel, VitsTokenizer |
|
|
| def tts_lisu(text): |
| model_id = "facebook/mms-tts-lis" |
| try: |
| tokenizer = VitsTokenizer.from_pretrained(model_id) |
| model = VitsModel.from_pretrained(model_id) |
| inputs = tokenizer(text, return_tensors="pt") |
| with torch.no_grad(): |
| output = model(**inputs) |
| waveform = output.waveform.squeeze().cpu() |
| sample_rate = model.config.sampling_rate |
| path = "lisu.wav" |
| torchaudio.save(path, waveform.unsqueeze(0), sample_rate) |
| return "✅ Giọng Lisu (ꓡꓲ-ꓢꓴ)", path |
| except Exception as e: |
| return f"❌ Lỗi: {str(e)}", None |
|
|
| with gr.Blocks() as demo: |
| gr.Markdown("# 🔊 Lisu TTS (ꓡꓲ-ꓢꓴ /lis/)") |
| text_input = gr.Textbox(label="Nhập văn bản bằng tiếng Lisu") |
| output_text = gr.Textbox(label="Thông tin") |
| output_audio = gr.Audio(label="Phát âm", type="filepath") |
| btn = gr.Button("Phát") |
|
|
| btn.click(fn=tts_lisu, inputs=[text_input], outputs=[output_text, output_audio]) |
|
|
| demo.launch() |
