🦋 Update README

README.md

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+---
+tags:
+- tensorflowtts
+- audio
+- text-to-speech
+- text-to-mel
+language: eng
+license: apache-2.0
+datasets:
+- LJSpeech
+widget:
+- text: "How are you?"
+---
+
+# FastSpeech2 trained on LJSpeech (Eng)
+This repository provides a pretrained [FastSpeech2](https://arxiv.org/abs/2006.04558) trained on LJSpeech dataset (ENG). For a detail of the model, we encourage you to read more about
+[TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS). 
+
+
+## Install TensorFlowTTS
+First of all, please install TensorFlowTTS with the following command:
+```
+pip install TensorFlowTTS
+```
+
+### Converting your Text to Mel Spectrogram
+```python
+from tensorflow_tts.inference import AutoProcessor
+from tensorflow_tts.inference import TFAutoModel
+
+processor = AutoProcessor.from_pretrained("tensorspeech/tts-fastspeech2-ljspeech-en")
+fastspeech2 = TFAutoModel.from_pretrained("tensorspeech/tts-fastspeech2-ljspeech-en")
+
+text = "How are you?"
+
+input_ids = processor.text_to_sequence(text)
+
+mel_before, mel_after, duration_outputs, _, _ = fastspeech2.inference(
+    input_ids=tf.expand_dims(tf.convert_to_tensor(input_ids, dtype=tf.int32), 0),
+    speaker_ids=tf.convert_to_tensor([0], dtype=tf.int32),
+    speed_ratios=tf.convert_to_tensor([1.0], dtype=tf.float32),
+    f0_ratios =tf.convert_to_tensor([1.0], dtype=tf.float32),
+    energy_ratios =tf.convert_to_tensor([1.0], dtype=tf.float32),
+)
+```
+
+#### Referencing FastSpeech
+```
+@misc{ren2021fastspeech,
+      title={FastSpeech 2: Fast and High-Quality End-to-End Text to Speech}, 
+      author={Yi Ren and Chenxu Hu and Xu Tan and Tao Qin and Sheng Zhao and Zhou Zhao and Tie-Yan Liu},
+      year={2021},
+      eprint={2006.04558},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS}
+}
+```
+
+#### Referencing TensorFlowTTS
+```
+@misc{TFTTS,
+    author = {Minh Nguyen, Alejandro Miguel Velasquez, Erogol, Kuan Chen, Dawid Kobus, Takuya Ebata, 
+    Trinh Le and Yunchao He},
+    title = {TensorflowTTS},
+    year = {2020},
+    publisher = {GitHub},
+    journal = {GitHub repository},
+    howpublished = {\\url{https://github.com/TensorSpeech/TensorFlowTTS}},
+  }
+```