Update app.py

app.py

@@ -1,10 +1,5 @@
 import os
 
-import gradio as gr
-import numpy as np
-import soundfile as sf
-import torch
-
 os.system("git clone --branch v2.3 https://github.com/DigitalPhonetics/IMS-Toucan.git toucan_codebase")
 os.system("mv toucan_codebase/* .")
 
@@ -12,18 +7,15 @@ from run_model_downloader import download_models
 
 download_models()
 
-
-
 import gradio as gr
 import numpy as np
 import torch
-import math
-import os
 from Preprocessing.TextFrontend import ArticulatoryCombinedTextFrontend
 from TrainingInterfaces.Text_to_Spectrogram.AutoAligner.Aligner import Aligner
 from TrainingInterfaces.Text_to_Spectrogram.FastSpeech2.DurationCalculator import DurationCalculator
 from InferenceInterfaces.UtteranceCloner import UtteranceCloner
 
+
 def float2pcm(sig, dtype='int16'):
     """
     https://gist.github.com/HudsonHuang/fbdf8e9af7993fe2a91620d3fb86a182
@@ -174,7 +166,7 @@ class TTS_Interface:
                                                        durations=duration,
                                                        pitch=pitch,
                                                        energy=self.energy,
-                                                       phones=True).cpu()
+                                                       input_is_phones=True).cpu()
 
         if self.current_voice == "female":
             cloned_speech = self.cloned_speech_female
@@ -207,7 +199,7 @@ iface = gr.Interface(fn=poem_model.read,
                               gr.outputs.Audio(type="numpy", label="Poem cloned from a reference"),
                               gr.outputs.Audio(type="numpy", label="Poem after human-in-the-loop adjustments")],
                      layout="vertical",
-                     title="PoeticTTS - Customizing Poetry for Literary Studies",
+                     title="PoeticTTS - Customizing Poetry",
                      thumbnail="Utility/toucan.png",
                      theme="default",
                      allow_flagging="never",