Update app.py

app.py

@@ -20,12 +20,6 @@ fastspeech2 = TFAutoModel.from_pretrained("tensorspeech/tts-fastspeech2-ljspeech
 tacotron2 = TFAutoModel.from_pretrained("tensorspeech/tts-tacotron2-ljspeech-en", name="tacotron2")
 melgan = TFAutoModel.from_pretrained("tensorspeech/tts-melgan-ljspeech-en", name="melgan")
 mb_melgan = TFAutoModel.from_pretrained("tensorspeech/tts-mb_melgan-ljspeech-en", name="mb_melgan")
-melgan_stft_config = AutoConfig.from_pretrained('TensorFlowTTS/examples/melgan_stft/conf/melgan_stft.v1.yaml')
-melgan_stft = TFAutoModel.from_pretrained(
-    config=melgan_stft_config,
-    pretrained_path="melgan.stft-2M.h5",
-    name="melgan_stft"
-)
 
 MODEL_DICT = {
     "Fastspeech2" : fastspeech2,
@@ -67,7 +61,7 @@ def inference(input):
         raise ValueError("Only TACOTRON, FASTSPEECH, FASTSPEECH2 are supported on text2mel_name")
 
     # vocoder part
-    if vocoder_name == "Melgan" or vocoder_name == "Melgan-STFT":
+    if vocoder_name == "Melgan":
         audio = vocoder_model(mel_outputs)[0, :, 0]
     elif vocoder_name == "MB-Melgan":
         audio = vocoder_model(mel_outputs)[0, :, 0]