Update README.md

README.md

@@ -10,7 +10,7 @@ license: afl-3.0
 ---
 ## GroTTS Model 
 
-This model was trained with the [FastSpeech 2](https://arxiv.org/abs/2006.04558) architecture using approx. 2 hours of Gronings TTS dataset. For the best results you need to download the vocoder separately from [here](https://huggingface.co/ahnafsamin/parallelwavegan-gronings) and then use the following code:
+This model was trained with the [FastSpeech 2](https://arxiv.org/abs/2006.04558) architecture using approx. 2 hours of Gronings TTS dataset. For the best results, you need to download the vocoder separately from [here](https://huggingface.co/ahnafsamin/parallelwavegan-gronings) and then use the following code:
 ```
 from espnet2.bin.tts_inference import Text2Speech
 from scipy.io.wavfile import write
@@ -23,6 +23,8 @@ output = model("This is a simple test.")
 write("x.wav", 22050, output['wav'].numpy())
 ```
 
+The GroTTS model is deployed [here](https://huggingface.co/spaces/ahnafsamin/GroTTS-FastSpeech2).
+
 ## TTS config
 
 <details><summary>expand</summary>