Update app.py

app.py

@@ -44,17 +44,17 @@ def load_model(model_tag, vocoder_tag):
 
 gos_text2speech = load_model('https://huggingface.co/wietsedv/tacotron2-gronings/resolve/main/tts_ljspeech_finetune_tacotron2.v5_train.loss.ave.zip', 'wietsedv/parallelwavegan-gronings')
 nld_text2speech = load_model('https://huggingface.co/wietsedv/tacotron2-dutch/resolve/main/tts_ljspeech_finetune_tacotron2.v5_train.loss.ave.zip', 'wietsedv/parallelwavegan-dutch')
-eng_text2speech = Text2Speech.from_pretrained(
-    model_tag="kan-bayashi/ljspeech_tacotron2",
-    vocoder_tag="parallel_wavegan/ljspeech_parallel_wavegan.v3",
-    device="cpu",
-    threshold=0.5,
-    minlenratio=0.0,
-    maxlenratio=10.0,
-    use_att_constraint=True,
-    backward_window=1,
-    forward_window=4,
-)
+#eng_text2speech = Text2Speech.from_pretrained(
+#    model_tag="kan-bayashi/ljspeech_tacotron2",
+#    vocoder_tag="parallel_wavegan/ljspeech_parallel_wavegan.v3",
+#    device="cpu",
+#    threshold=0.5,
+#    minlenratio=0.0,
+#    maxlenratio=10.0,
+#    use_att_constraint=True,
+#    backward_window=1,
+#    forward_window=4,
+#)
 
 def inference(text,lang):
   with torch.no_grad():
@@ -64,9 +64,9 @@ def inference(text,lang):
       if lang == "dutch":
           wav = nld_text2speech(text)["wav"]
           scipy.io.wavfile.write("out.wav", nld_text2speech.fs , wav.view(-1).cpu().numpy())
-      if lang == "english":
-          wav = eng_text2speech(text)["wav"]
-          scipy.io.wavfile.write("out.wav", eng_text2speech.fs , wav.view(-1).cpu().numpy())
+      #if lang == "english":
+      #    wav = eng_text2speech(text)["wav"]
+      #    scipy.io.wavfile.write("out.wav", eng_text2speech.fs , wav.view(-1).cpu().numpy())
 
   return  "out.wav", "out.wav"
 
@@ -77,8 +77,8 @@ examples = [
 
 gr.Interface(
     inference,
-    [gr.inputs.Textbox(label="input text", lines=3), gr.inputs.Radio(choices=["gronings", "dutch", "english"], type="value", default="gronings", label="language")], 
+    [gr.inputs.Textbox(label="input text", lines=3), gr.inputs.Radio(choices=["gronings", "dutch"], type="value", default="gronings", label="language")], 
     [gr.outputs.Audio(type="file", label="Output"), gr.outputs.File()],
     title=title,
     examples=examples
-    ).launch(enable_queue=True, debug=True)
+    ).launch(enable_queue=True)