Update app.py

app.py

@@ -79,7 +79,7 @@ def inference(text,lang):
           scipy.io.wavfile.write("out.wav",text2speechen.fs , wav.view(-1).cpu().numpy())
       if lang == "chinese":
           wav = text2speechch(text)["wav"]
-          scipy.io.wavfile.write("out.wav",text2speechench.fs , wav.view(-1).cpu().numpy())
+          scipy.io.wavfile.write("out.wav",text2speechch.fs , wav.view(-1).cpu().numpy())
       if lang == "japanese":
           wav = text2speechjp(text)["wav"]
           scipy.io.wavfile.write("out.wav",text2speechjp.fs , wav.view(-1).cpu().numpy())
@@ -88,7 +88,7 @@ title = "ESPnet2-TTS"
 description = "Gradio demo for ESPnet2-TTS: Extending the Edge of TTS Research. To use it, simply add your audio, 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/2110.07840' target='_blank'>ESPnet2-TTS: Extending the Edge of TTS Research</a> | <a href='https://github.com/espnet/espnet' target='_blank'>Github Repo</a></p>"
 
-examples=[['This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit. ESPnet2-TTS extends our earlier version, ESPnet-TTS, by adding many new features, including: on-the-fly flexible pre-processing, joint training with neural vocoders, and state-of-the-art TTS models with extensions like full-band E2E text-to-waveform modeling, which simplify the training pipeline and further enhance TTS performance. The unified design of our recipes enables users to quickly reproduce state-of-the-art E2E-TTS results',"english"],['水をマレーシアから買わなくてはならないのです。',"japanese"],['对英语和日语语料库的实验评估表明，我们提供的模型合成了与真实情况相当的话语，实现了最先进的 TTS 性能',"chinese"]]
+examples=[['This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit. ESPnet2-TTS extends our earlier version, ESPnet-TTS, by adding many new features, including: on-the-fly flexible pre-processing, joint training with neural vocoders, and state-of-the-art TTS models with extensions like full-band E2E text-to-waveform modeling, which simplify the training pipeline and further enhance TTS performance. The unified design of our recipes enables users to quickly reproduce state-of-the-art E2E-TTS results',"english"],['水をマレーシアから買わなくてはならないのです。',"japanese"],['对英语和日语语料库的实验评估表明，我们提供的模型合成了与真实情况相当的话语，达到了最先进的水平',"chinese"]]
 
 gr.Interface(
     inference,