Create app.py

app.py

@@ -0,0 +1,50 @@
+import gradio as gr
+import time
+import torch
+import scipy
+from espnet2.bin.tts_inference import Text2Speech
+from espnet2.utils.types import str_or_none
+
+lang = 'English'
+tag = 'kan-bayashi/ljspeech_vits' 
+vocoder_tag = "none" 
+
+text2speech = Text2Speech.from_pretrained(
+    model_tag=str_or_none(tag),
+    vocoder_tag=str_or_none(vocoder_tag),
+    device="cpu",
+    # Only for Tacotron 2 & Transformer
+    threshold=0.5,
+    # Only for Tacotron 2
+    minlenratio=0.0,
+    maxlenratio=10.0,
+    use_att_constraint=False,
+    backward_window=1,
+    forward_window=3,
+    # Only for FastSpeech & FastSpeech2 & VITS
+    speed_control_alpha=1.0,
+    # Only for VITS
+    noise_scale=0.333,
+    noise_scale_dur=0.333,
+)
+
+
+def inference(text):
+  with torch.no_grad():
+      start = time.time()
+      wav = text2speech(text)["wav"]
+  scipy.io.wavfile.write("out.wav",text2speech.fs , wav.view(-1).cpu().numpy())
+  return  "out.wav"
+title = "TTS"
+description = "demo for Anime2Sketch. To use it, simply upload your image, 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/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"
+
+gr.Interface(
+    inference, 
+    "text", 
+    gr.outputs.Audio(type="file", label="Output"),
+    title=title,
+    description=description,
+    article=article,
+    enable_queue=True
+    ).launch(debug=True)