init

app.py

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+import gradio as gr
+import nltk
+import os
+os.system('python -m unidic download')
+from melo.api import TTS
+
+nltk.download('averaged_perceptron_tagger_eng')
+
+# Get device
+device = 'auto'
+model = TTS(language='EN', device=device)
+speaker_ids = model.hps.data.spk2id
+
+
+def inference(text: str):
+    output_path = 'en-us.wav'
+    model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=1.0)
+    return output_path
+
+
+if __name__ == "__main__":
+    demo = gr.Interface(
+        fn=inference,
+        inputs=[
+            gr.Textbox(),
+        ],
+        outputs=[
+            gr.Audio()
+        ],
+    )
+    demo.queue().launch()

requirements.txt

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+-e ./third_party/MeloTTS