Update README.md

README.md

@@ -3,9 +3,17 @@ license: cc-by-nc-4.0
 language:
 - en
 ---
-Models trained from VITS-fast-fine-tuning (https://github.com/Plachtaa/VITS-fast-fine-tuning)
+Models trained from [VITS-fast-fine-tuning](https://github.com/Plachtaa/VITS-fast-fine-tuning)
 - Three speakers: laoliang (老梁), specialweek, zhongli.
 - The model is trained on the C+J base model with 500 epochs.
 - Following the official instruction, we use a single long audio of laoliang (~5 minutes) with auxiliary data as training data.
-- After downloading models, you need to move finetune_speaker.json and G_latest.pth to /path/to/ VITS-fast-fine-tuning.
-- Finally, you can run  your local gradio application via python VC_inference.py --model_dir ./G_latest.pth --share True
+- After downloading models, you need to move finetune_speaker.json and G_latest.pth to _/path/to/ VITS-fast-fine-tuning_.
+- Finally, you can run  your local gradio application via _python VC_inference.py --model_dir ./G_latest.pth --share True_
+
+'''bash
+VITS-fast-fine-tuning
+├───VC_inference.py
+├───...
+├───finetune_speaker.json
+└───G_latest.pth
+'''