Update checkpoint path in load_models function to use the latest training run

inference.py

@@ -33,7 +33,7 @@ else:
 fp16 = False
 
 
-def load_models(f0_condition=False, checkpoint="./runs/training_run/ft_model.pth", config="./configs/presets/config_dit_mel_seed_uvit_whisper_small_wavenet.yml"):
+def load_models(f0_condition=False, checkpoint="./runs/training_run/epochs_2nd_00020.pth", config="./configs/presets/config_dit_mel_seed_uvit_whisper_small_wavenet.yml"):
     fp16 = torch.cuda.is_available()
 
     if checkpoint is not None: