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	update whisper readme and requirements
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		 Awni Hannun
					Awni Hannun
				
			
				
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						 Angelos Katharopoulos
						Angelos Katharopoulos
					
				
			
			
				
	
			
			
			 Angelos Katharopoulos
						Angelos Katharopoulos
					
				
			
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			| @@ -1,10 +1,12 @@ | ||||
| # whisper | ||||
|  | ||||
| Whisper in MLX. | ||||
| Speech recognition with Whisper in MLX. Whisper is a set of open source speech | ||||
| recognition models from Open AI, ranging from 39 million to 1.5 billion | ||||
| parameters[^1]. | ||||
|  | ||||
| First install the dependencies: | ||||
| ### Setup | ||||
|  | ||||
| (TODO, MLX install link / command / add to requirements.txt) | ||||
| First, install the dependencies. | ||||
|  | ||||
| ``` | ||||
| pip install -r requirements.txt | ||||
| @@ -12,12 +14,14 @@ pip install -r requirements.txt | ||||
|  | ||||
| Install [`ffmpeg`](https://ffmpeg.org/): | ||||
|  | ||||
| ```bash | ||||
| ``` | ||||
| # on MacOS using Homebrew (https://brew.sh/) | ||||
| brew install ffmpeg | ||||
| ``` | ||||
|  | ||||
| Then transcribe audio with: | ||||
| ### Run | ||||
|  | ||||
| Transcribe audio with: | ||||
|  | ||||
| ``` | ||||
| import whisper | ||||
| @@ -25,3 +29,4 @@ import whisper | ||||
| text = whisper.transcribe(speech_file)["text"] | ||||
| ``` | ||||
|  | ||||
| [^1]: Refer to the [arXiv paper](https://arxiv.org/abs/2212.04356), [blog post](https://openai.com/research/whisper), and [code](https://github.com/openai/whisper) for more details. | ||||
|   | ||||
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