diff --git a/egs/ljspeech/TTS/matcha/inference.py b/egs/ljspeech/TTS/matcha/inference.py
index 250c38f20..209fb86b4 100755
--- a/egs/ljspeech/TTS/matcha/inference.py
+++ b/egs/ljspeech/TTS/matcha/inference.py
@@ -13,8 +13,6 @@ from matcha.hifigan.config import v1, v2, v3
 from matcha.hifigan.denoiser import Denoiser
 from tokenizer import Tokenizer
 from matcha.hifigan.models import Generator as HiFiGAN
-from matcha.text import sequence_to_text, text_to_sequence
-from matcha.utils.utils import intersperse
 from tqdm.auto import tqdm
 from train import get_model, get_params
 
@@ -151,8 +149,13 @@ def main():
     denoiser = Denoiser(vocoder, mode="zeros")
 
     texts = [
-        "The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.",
-        "Today as always, men fall into two groups: slaves and free men. Whoever does not have two-thirds of his day for himself, is a slave, whatever he may be: a statesman, a businessman, an official, or a scholar.",
+        "The Secret Service believed that it was very doubtful that any "
+        "President would ride regularly in a vehicle with a fixed top, even "
+        "though transparent.",
+        "Today as always, men fall into two groups: slaves and free men. "
+        "Whoever does not have two-thirds of his day for himself, is a slave, "
+        "whatever he may be: a statesman, a businessman, an official, or a "
+        "scholar.",
     ]
 
     # Number of ODE Solver steps
@@ -164,7 +167,7 @@ def main():
     # Sampling temperature
     temperature = 0.667
 
-    outputs, rtfs = [], []
+    rtfs = []
     rtfs_w = []
     for i, text in enumerate(tqdm(texts)):
         output = synthesise(
@@ -202,7 +205,8 @@ def main():
     print(f"Number of ODE steps: {n_timesteps}")
     print(f"Mean RTF:\t\t\t\t{np.mean(rtfs):.6f} ± {np.std(rtfs):.6f}")
     print(
-        f"Mean RTF Waveform (incl. vocoder):\t{np.mean(rtfs_w):.6f} ± {np.std(rtfs_w):.6f}"
+        "Mean RTF Waveform "
+        f"(incl. vocoder):\t{np.mean(rtfs_w):.6f} ± {np.std(rtfs_w):.6f}"
     )