Update README.md

README.md

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----
-title: Mmtts
-emoji: 💬
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 5.0.1
-app_file: app.py
-pinned: false
-short_description: Myanmar Text to Speech 2
----
-
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+# Myanmar Text-to-Speech Demo
+
+This Hugging Face Space demonstrates the Myanmar Text-to-Speech (TTS) system developed by [hpbyte](https://github.com/hpbyte/myanmar-tts). It's an end-to-end speech synthesis system specifically designed for the Burmese language.
+
+## About the Project
+
+This is an implementation of Tacotron 2 for Myanmar language text-to-speech synthesis. Unlike Meta's Massively Multilingual Speech (MMS) Burmese TTS, this project is specifically focused on high-quality Burmese speech synthesis using an end-to-end approach.
+
+### Key Features:
+- End-to-end Burmese text-to-speech synthesis
+- Built on the Tacotron 2 architecture
+- Custom text processing for the Myanmar language
+- Clean and natural-sounding voice output
+
+## How to Use This Demo
+
+1. Enter Burmese text in the input box
+2. Click "Submit" to generate speech
+3. Listen to the generated audio output
+
+## Examples
+
+Try these example phrases:
+- မင်္ဂလာပါ (Hello)
+- မြန်မာစကားပြောစနစ်ကို ကြိုဆိုပါတယ် (Welcome to the Myanmar speech system)
+- ဒီစနစ်ဟာ မြန်မာစာကို အသံအဖြစ် ပြောင်းပေးနိုင်ပါတယ် (This system can convert Myanmar text to speech)
+
+## Model Details
+
+This model uses a Tacotron 2 architecture to generate mel spectrograms from text, which are then converted to waveforms using a vocoder. The model was trained on a dataset of Burmese speech.
+
+## References
+
+- Original Repository: [https://github.com/hpbyte/myanmar-tts](https://github.com/hpbyte/myanmar-tts)
+- Paper: [Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions](https://arxiv.org/abs/1712.05884)
+
+## Citation
+
+If you use this model in your research or application, please cite the original repository:
+
+```
+@misc{myanmar-tts,
+  author = {Htet Pyie Sone},
+  title = {Myanmar Text-to-Speech},
+  year = {2021},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/hpbyte/myanmar-tts}}
+}
+```