Create app.py

app.py

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+import gradio as gr
+from transformers import VitsModel, AutoTokenizer
+import torch
+import numpy as np
+
+model = VitsModel.from_pretrained("facebook/mms-tts-hat")
+tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-hat")
+
+def generate_speech(text):
+    inputs = tokenizer(text, return_tensors="pt")
+    with torch.no_grad():
+        output = model(**inputs).waveform
+    return (model.config.sampling_rate, output[0].numpy())
+
+demo = gr.Interface(
+    fn=generate_speech,
+    inputs=gr.Textbox(label="Haitian Creole Text"),
+    outputs=gr.Audio(label="Generated Speech"),
+    title="Haitian Creole TTS"
+)
+
+demo.launch()