Create app.py

app.py

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+import gradio as gr
+from transformers import VitsForTextToSpeech, AutoTokenizer
+import soundfile as sf
+import torch
+
+model_id = "facebook/mms-tts-bod"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = VitsForTextToSpeech.from_pretrained(model_id)
+
+def tts(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    speech = model.generate_speech(inputs["input_ids"][0], speaker_id=0)
+    sf.write("output.wav", speech.cpu().numpy(), samplerate=16000)
+    return "output.wav"
+
+demo = gr.Interface(fn=tts, inputs="text", outputs="audio")
+demo.launch()