diff --git a/src/f5_tts/model/trainer.py b/src/f5_tts/model/trainer.py
index c45b6b1..e9ed5d4 100644
--- a/src/f5_tts/model/trainer.py
+++ b/src/f5_tts/model/trainer.py
@@ -19,7 +19,7 @@ from f5_tts.model import CFM
 from f5_tts.model.utils import exists, default
 from f5_tts.model.dataset import DynamicBatchSampler, collate_fn
 from f5_tts.infer.utils_infer import target_sample_rate, hop_length, nfe_step, cfg_strength, sway_sampling_coef, vocos
-from f5_tts.model.utils import gen_sample
+from f5_tts.model.utils import get_sample
 
 # trainer
 
@@ -315,7 +315,7 @@ class Trainer:
                         and self.export_samples
                         and global_step % (int(self.save_per_updates * 0.25) * self.grad_accumulation_steps) == 0
                     ):
-                        wave_org, wave_gen, mel_org, mel_gen = gen_sample(
+                        wave_org, wave_gen, mel_org, mel_gen = get_sample(
                             vocos,
                             self.model,
                             self.file_path_samples,
diff --git a/src/f5_tts/model/utils.py b/src/f5_tts/model/utils.py
index 8877a7e..0314d1f 100644
--- a/src/f5_tts/model/utils.py
+++ b/src/f5_tts/model/utils.py
@@ -205,7 +205,7 @@ def export_mel(mel_colored_hwc, file_out):
     plt.imsave(file_out, mel_colored_hwc)
 
 
-def get_sample(model, vocos, file_wav_org, text_inputs, hop_length, nfe_step, cfg_strength, sway_sampling_coef):
+def gen_sample(model, vocos, file_wav_org, text_inputs, hop_length, nfe_step, cfg_strength, sway_sampling_coef):
     audio, sr = torchaudio.load(file_wav_org)
     audio = audio.to("cuda")
     ref_audio_len = audio.shape[-1] // hop_length
@@ -228,7 +228,7 @@ def get_sample(model, vocos, file_wav_org, text_inputs, hop_length, nfe_step, cf
     return generated_wave_gen, generated_mel_spec_gen
 
 
-def gen_sample(
+def get_sample(
     vocos,
     model,
     file_path_samples,
@@ -245,7 +245,7 @@ def gen_sample(
     generated_wave_org = generated_wave_org.squeeze().cpu().numpy()
     file_wav_org = os.path.join(file_path_samples, f"step_{global_step}_org.wav")
     export_audio(file_wav_org, generated_wave_org, target_sample_rate)
-    generated_wave_gen, generated_mel_spec_gen = get_sample(
+    generated_wave_gen, generated_mel_spec_gen = gen_sample(
         model, vocos, file_wav_org, text_inputs, hop_length, nfe_step, cfg_strength, sway_sampling_coef
     )
     file_wav_gen = os.path.join(file_path_samples, f"step_{global_step}_gen.wav")