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readme update

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ortizcruz
2023-09-22 15:42:59 +02:00
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commit 6b315917c3
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@@ -55,8 +55,19 @@ model = AutoTranscribe()
text = model.transcribe("audio.wav") text = model.transcribe("audio.wav")
print(f"Transcription: \n{text}") print(f"Transcription: \n{text}")
```
To have advanced control of the usage you can use the following options:
- Number of speakers in the file: `num_speakers`
- Specify the language: `language`,
- Task to process :`task`
For example
``` ```
text = model.transcribe("audio.wav", language="german", task="transcribe")
```
Refer to [whisper](https://github.com/openai/whisper) and [payannote-audio](https://github.com/pyannote/pyannote-audio) for further options. Refer to [whisper](https://github.com/openai/whisper) and [payannote-audio](https://github.com/pyannote/pyannote-audio) for further options.
@@ -64,7 +75,7 @@ Refer to [whisper](https://github.com/openai/whisper) and [payannote-audio](http
You can also run ScrAIbe in a [Gradio App](https://github.com/gradio-app/gradio) interface using the following command-line: You can also run ScrAIbe in a [Gradio App](https://github.com/gradio-app/gradio) interface using the following command-line:
scraibe audio.wav scraibe --audio-files "audio.wav" --port 7860 --hf-token "your personal Hugging Face token" --server-name "name of the server" --task "translate"
Some example of important functionalities are: Some example of important functionalities are:
@@ -72,10 +83,8 @@ Some example of important functionalities are:
- `--hf-token`: Personal `Hugging Face` token. - `--hf-token`: Personal `Hugging Face` token.
- `--server-name`: Name of the Web Server. If empty 127.0.0.1 or 0.0.0.0 will be used. - `--server-name`: Name of the Web Server. If empty 127.0.0.1 or 0.0.0.0 will be used.
- `--port`: To run the Gradio app. The default is 7860. - `--port`: To run the Gradio app. The default is 7860.
- `--whisper-model-name`: Name of the [whisper](https://github.com/openai/whisper) model to be used. Default is `medium`. - `--whisper-model-name`: Name of the [whisper](https://github.com/openai/whisper) model to be used. Default is `medium`.
Run the following to view all available options: Run the following to view all available options:
scraibe -h scraibe -h