Create app.py

app.py

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+import torch
+import gradio as gr
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
+import soundfile as sf
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/mms-tts-chv", torch_dtype=torch.float32).to(device)
+processor = AutoProcessor.from_pretrained("facebook/mms-tts-chv")
+
+def tts_fn(text):
+    inputs = processor(text=text, return_tensors="pt").to(device)
+    with torch.no_grad():
+        speech = model.generate(**inputs)
+    audio = processor.batch_decode(speech, return_tensors="np")[0]
+    sf.write("output.wav", audio, 16000)
+    return "output.wav"
+
+demo = gr.Interface(fn=tts_fn, inputs="text", outputs="audio", title="TTS Chuvash - Facebook MMS")
+
+demo.launch()