Create app.py

app.py

@@ -0,0 +1,21 @@
+from transformers import AutoProcessor, VitsModel
+import torch
+import gradio as gr
+import scipy.io.wavfile
+
+model_id = "facebook/mms-tts-bod"
+
+processor = AutoProcessor.from_pretrained(model_id)
+model = VitsModel.from_pretrained(model_id)
+model.eval()
+
+def tts_fn(text):
+    inputs = processor(text=text, return_tensors="pt")
+    with torch.no_grad():
+        output = model(**inputs)
+    audio = output.waveform.squeeze().numpy()
+    sample_rate = model.config.sampling_rate
+    return (sample_rate, audio)
+
+demo = gr.Interface(fn=tts_fn, inputs=gr.Textbox(label="Nhập văn bản tiếng Tây Tạng"), outputs="audio")
+demo.launch()