import server as xvaserver import gradio as gr import requests def predict(input): model_type = 'xVAPitch' line = 'Test' pace = 1.0 save_path = 'test.wav' language = 'en' base_speaker_emb = [] use_sr = 0 use_cleanup = 0 data = { 'modelType': model_type, 'sequence': line, 'pace': pace, 'outfile': save_path, 'vocoder': 'n/a', 'base_lang': language, 'base_emb': base_speaker_emb, 'useSR': use_sr, 'useCleanup': use_cleanup, } requests.post('http://localhost:8008/synthesize', json=data) return '' input_textbox = gr.Textbox( label="Input Text", lines=1, autofocus=True ) gradio_app = gr.Interface( predict, input_textbox, outputs="text", title="xVASynth", ) if __name__ == "__main__": gradio_app.launch()