Update README.md

README.md

@@ -1,70 +1,8 @@
----
-library_name: fairseq
-task: text-to-speech
-tags:
-- fairseq
-- audio
-- text-to-speech
-language: vi
-datasets:
-- common_voice
-widget:
-- text: "Xin chào, đây là một cuộc chạy thử nghiệm."
-  example_title: "Hello, this is a test run."
----
-# tts_transformer-vi-cv7
-
-[Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
-- Vietnamese
-- Single-speaker male voice
-- Trained on [Common Voice v7](https://commonvoice.mozilla.org/en/datasets)
-
-## Usage
-
-```python
-from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
-from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
-import IPython.display as ipd
-
-
-models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
-    "facebook/tts_transformer-vi-cv7",
-    arg_overrides={"vocoder": "hifigan", "fp16": False}
-)
-model = models[0]
-TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
-generator = task.build_generator(model, cfg)
-
-text = "Xin chào, đây là một cuộc chạy thử nghiệm."
-
-sample = TTSHubInterface.get_model_input(task, text)
-wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
-
-ipd.Audio(wav, rate=rate)
-```
-
-See also [fairseq S^2 example](https://github.com/pytorch/fairseq/blob/main/examples/speech_synthesis/docs/common_voice_example.md).
-
-## Citation
-
-```bibtex
-@inproceedings{wang-etal-2021-fairseq,
-    title = "fairseq S{\^{}}2: A Scalable and Integrable Speech Synthesis Toolkit",
-    author = "Wang, Changhan  and
-      Hsu, Wei-Ning  and
-      Adi, Yossi  and
-      Polyak, Adam  and
-      Lee, Ann  and
-      Chen, Peng-Jen  and
-      Gu, Jiatao  and
-      Pino, Juan",
-    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
-    month = nov,
-    year = "2021",
-    address = "Online and Punta Cana, Dominican Republic",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2021.emnlp-demo.17",
-    doi = "10.18653/v1/2021.emnlp-demo.17",
-    pages = "143--152",
-}
-```
+title: Vietnam VITS Male Voice TTS
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 3.40.1
+app_file: app.py
+pinned: false
+license: cc-by-sa-4.0