jhj0517 commited on
Commit
d2efc2f
·
1 Parent(s): 79ab38d

Update README

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -25,7 +25,7 @@ If you wish to try this on Colab, you can do it in [here](https://colab.research
25
  - Translate subtitle files using Facebook NLLB models
26
  - Translate subtitle files using DeepL API
27
  - Pre-processing audio input with [Silero VAD](https://github.com/snakers4/silero-vad).
28
- - Pre-processing audio input to separate BGM with [UVR](https://github.com/Anjok07/ultimatevocalremovergui), [UVR-api](https://github.com/NextAudioGen/ultimatevocalremover_api).
29
  - Post-processing with speaker diarization using the [pyannote](https://huggingface.co/pyannote/speaker-diarization-3.1) model.
30
  - To download the pyannote model, you need to have a Huggingface token and manually accept their terms in the pages below.
31
  1. https://huggingface.co/pyannote/speaker-diarization-3.1
@@ -33,7 +33,7 @@ If you wish to try this on Colab, you can do it in [here](https://colab.research
33
 
34
  # Installation and Running
35
 
36
- - ## Running with Pinokio
37
 
38
  The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio).
39
 
@@ -41,7 +41,7 @@ The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio
41
  2. Open the software and search for Whisper-WebUI and install it.
42
  3. Start the Whisper-WebUI and connect to the `http://localhost:7860`.
43
 
44
- - ## Running with Docker
45
 
46
  1. Install and launch [Docker-Desktop](https://www.docker.com/products/docker-desktop/).
47
 
@@ -67,7 +67,7 @@ docker compose up
67
 
68
  If needed, update the [`docker-compose.yaml`](https://github.com/jhj0517/Whisper-WebUI/blob/master/docker-compose.yaml) to match your environment.
69
 
70
- - ## Run Locally
71
 
72
  ### Prerequisite
73
  To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`. <br>
 
25
  - Translate subtitle files using Facebook NLLB models
26
  - Translate subtitle files using DeepL API
27
  - Pre-processing audio input with [Silero VAD](https://github.com/snakers4/silero-vad).
28
+ - Pre-processing audio input to separate BGM with [UVR](https://github.com/Anjok07/ultimatevocalremovergui).
29
  - Post-processing with speaker diarization using the [pyannote](https://huggingface.co/pyannote/speaker-diarization-3.1) model.
30
  - To download the pyannote model, you need to have a Huggingface token and manually accept their terms in the pages below.
31
  1. https://huggingface.co/pyannote/speaker-diarization-3.1
 
33
 
34
  # Installation and Running
35
 
36
+ - ## Option1: Running with Pinokio
37
 
38
  The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio).
39
 
 
41
  2. Open the software and search for Whisper-WebUI and install it.
42
  3. Start the Whisper-WebUI and connect to the `http://localhost:7860`.
43
 
44
+ - ## Option2: Running with Docker
45
 
46
  1. Install and launch [Docker-Desktop](https://www.docker.com/products/docker-desktop/).
47
 
 
67
 
68
  If needed, update the [`docker-compose.yaml`](https://github.com/jhj0517/Whisper-WebUI/blob/master/docker-compose.yaml) to match your environment.
69
 
70
+ - ## Option3: Run Locally
71
 
72
  ### Prerequisite
73
  To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`. <br>