Update app.py

app.py

@@ -1,17 +1,27 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import AutoProcessor, AutoModelForTextToSpeech
+import torch
+import soundfile as sf
+
+model_id = "facebook/mms-tts-lis"
+processor = AutoProcessor.from_pretrained(model_id)
+model = AutoModelForTextToSpeech.from_pretrained(model_id)
 
 def tts_lisu(text):
-    model_id = "facebook/mms-tts-lis"
     try:
-        tts = pipeline("text-to-speech", model=model_id)
-        output = tts(text)
-        return f"✅ Giọng Lisu (ꓡꓲ-ꓢꓴ)", (output["audio"], "lisu.wav")
+        inputs = processor(text=text, return_tensors="pt")
+        with torch.no_grad():
+            outputs = model(**inputs)
+        audio = outputs["waveform"]
+
+        # Lưu ra file WAV
+        sf.write("lisu.wav", audio.squeeze().numpy(), samplerate=16000)
+        return f"✅ Giọng Lisu (ꓡꓲ-ꓢꓴ)", "lisu.wav"
     except Exception as e:
         return f"❌ Lỗi: {str(e)}", None
 
 with gr.Blocks() as demo:
-    gr.Markdown("# 🔊 Lisu TTS (ꓡꓲ-ꓢꓴ /lis/)")
+    gr.Markdown("# 🔊 Lisu TTS (LI-SU /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")