diff --git a/README.md b/README.md
index 958e314..f7de2ea 100644
--- a/README.md
+++ b/README.md
@@ -197,8 +197,40 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
   - [ ] better sovits base model (enhanced audio quality)
   - [ ] model mix
 
+## (Optional) If you need, here will provide the command line operation mode, custom port and custom number of lines displayed per page
+Use the command line to open the WebUI for UVR5
+```
+python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
+```
+If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
+```
+python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision 
+```
+This is how the audio segmentation of the dataset is done using the command line
+```
+python audio_slicer.py \
+    --input_path "<path_to_original_audio_file_or_directory>" \
+    --output_root "<directory_where_subdivided_audio_clips_will_be_saved>" \
+    --threshold <volume_threshold> \
+    --min_length <minimum_duration_of_each_subclip> \
+    --min_interval <shortest_time_gap_between_adjacent_subclips> 
+    --hop_size <step_size_for_computing_volume_curve>
+```
+This is how dataset ASR processing is done using the command line(Only Chinese)
+```
+python tools/damo_asr/cmd-asr.py "<Path to the directory containing input audio files>"
+```
+ASR processing is performed through Faster_Whisper(ASR marking except Chinese)
+
+(No progress bar, may be time dependent due to GPU performance)
+```
+python ./tools/damo_asr/WhisperASR.py -i <input> -o <output> -f <file_name.list> -l <language>
+```
+A custom list save path is enabled
 ## Credits
 
+
+
 Special thanks to the following projects and contributors:
 
 - [ar-vits](https://github.com/innnky/ar-vits)