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Update README
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README.md
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@@ -25,7 +25,7 @@ If you wish to try this on Colab, you can do it in [here](https://colab.research
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- Translate subtitle files using Facebook NLLB models
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- Translate subtitle files using DeepL API
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- Pre-processing audio input with [Silero VAD](https://github.com/snakers4/silero-vad).
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- Pre-processing audio input to separate BGM with [UVR](https://github.com/Anjok07/ultimatevocalremovergui)
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- Post-processing with speaker diarization using the [pyannote](https://huggingface.co/pyannote/speaker-diarization-3.1) model.
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- To download the pyannote model, you need to have a Huggingface token and manually accept their terms in the pages below.
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1. https://huggingface.co/pyannote/speaker-diarization-3.1
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# Installation and Running
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- ## Running with Pinokio
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The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio).
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@@ -41,7 +41,7 @@ The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio
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2. Open the software and search for Whisper-WebUI and install it.
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3. Start the Whisper-WebUI and connect to the `http://localhost:7860`.
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- ## Running with Docker
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1. Install and launch [Docker-Desktop](https://www.docker.com/products/docker-desktop/).
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If needed, update the [`docker-compose.yaml`](https://github.com/jhj0517/Whisper-WebUI/blob/master/docker-compose.yaml) to match your environment.
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- ## Run Locally
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### Prerequisite
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To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`. <br>
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- Translate subtitle files using Facebook NLLB models
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- Translate subtitle files using DeepL API
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- Pre-processing audio input with [Silero VAD](https://github.com/snakers4/silero-vad).
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+
- Pre-processing audio input to separate BGM with [UVR](https://github.com/Anjok07/ultimatevocalremovergui).
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- Post-processing with speaker diarization using the [pyannote](https://huggingface.co/pyannote/speaker-diarization-3.1) model.
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- To download the pyannote model, you need to have a Huggingface token and manually accept their terms in the pages below.
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1. https://huggingface.co/pyannote/speaker-diarization-3.1
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# Installation and Running
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- ## Option1: Running with Pinokio
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The app is able to run with [Pinokio](https://github.com/pinokiocomputer/pinokio).
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2. Open the software and search for Whisper-WebUI and install it.
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3. Start the Whisper-WebUI and connect to the `http://localhost:7860`.
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- ## Option2: Running with Docker
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1. Install and launch [Docker-Desktop](https://www.docker.com/products/docker-desktop/).
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If needed, update the [`docker-compose.yaml`](https://github.com/jhj0517/Whisper-WebUI/blob/master/docker-compose.yaml) to match your environment.
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- ## Option3: Run Locally
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### Prerequisite
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To run this WebUI, you need to have `git`, `python` version 3.8 ~ 3.10, `FFmpeg`. <br>
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