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| import gradio as gr | |
| title = "fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit" | |
| description = "Gradio Demo for fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." | |
| article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2109.06912' target='_blank'>fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit</a> | <a href='https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis' target='_blank'>Github Repo</a></p>" | |
| examples = [ | |
| ["Hello this is a test run","fastspeech2-en-200_speaker-cv4"], | |
| ["Hello, this is a test run.","tts_transformer-en-200_speaker-cv4"], | |
| ["Bonjour, ceci est un test.","tts_transformer-fr-cv7_css10"], | |
| ["BЗдравствуйте, это пробный запуск.","tts_transformer-ru-cv7_css10"], | |
| ["Merhaba, bu bir deneme çalışmasıdır.","tts_transformer-tr-cv7"], | |
| ["Xin chào, đây là một cuộc chạy thử nghiệm.","tts_transformer-vi-cv7"], | |
| ["مرحبًا ، هذا اختبار تشغيل.","tts_transformer-ar-cv7"], | |
| ["Hola, esta es una prueba.","tts_transformer-es-css10"] | |
| ] | |
| io1 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-es_en-multi_domain") | |
| io2 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-ru_en-multi_domain") | |
| io3 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_ru-multi_domain") | |
| io4 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_es-multi_domain") | |
| io5 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_zh-multi_domain") | |
| io6 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-fr_en-multi_domain") | |
| io7 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_ar-multi_domain") | |
| io8 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_tr-multi_domain") | |
| def inference(text,model): | |
| if model == "xm_transformer_600m-es_en-multi_domain": | |
| outtext = io1(text) | |
| elif model == "xm_transformer_600m-ru_en-multi_domain": | |
| outtext = io2(text) | |
| elif model == "xm_transformer_600m-en_ru-multi_domain": | |
| outtext = io3(text) | |
| elif model == "xm_transformer_600m-en_es-multi_domain": | |
| outtext = io4(text) | |
| elif model == "xm_transformer_600m-en_zh-multi_domain": | |
| outtext = io5(text) | |
| elif model == "xm_transformer_600m-fr_en-multi_domain": | |
| outtext = io6(text) | |
| elif model == "xm_transformer_600m-en_ar-multi_domain": | |
| outtext = io7(text) | |
| else: | |
| outtext = io8(text) | |
| return outtext | |
| gr.Interface( | |
| inference, | |
| [gr.inputs.Audio(label="Input"),gr.inputs.Dropdown(choices=["xm_transformer_600m-es_en-multi_domain","xm_transformer_600m-ru_en-multi_domain","xm_transformer_600m-en_ru-multi_domain","xm_transformer_600m-en_es-multi_domain","xm_transformer_600m-en_zh-multi_domain","xm_transformer_600m-fr_en-multi_domain","xm_transformer_600m-en_ar-multi_domain","facebook/xm_transformer_600m-en_tr-multi_domain"], type="value", default="xm_transformer_600m-es_en-multi_domain", label="model") | |
| ], | |
| gr.outputs.Audio(label="Output"), | |
| examples=examples, | |
| article=article, | |
| title=title, | |
| description=description).launch(enable_queue=True) |