update Readme
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@@ -30,24 +30,26 @@ Unlike traditional speech recognition systems that rely on continuous audio stre
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- On the client side
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- On the client side
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- To transcribe an audio file:
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- To transcribe an audio file:
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```bash
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```bash
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python client.py --audio "audio.wav"
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python client.py --audio "audio.wav" --host "localhost" --port "9090"
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```
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```
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- To transcribe from microphone:
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- To transcribe from microphone:
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```bash
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```bash
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python client.py
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python client.py --host "localhost" --port "9090"
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```
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```
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## Transcribe audio from browser
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## Transcribe audio from browser
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- Run the websocket-server
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- Run the server
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```bash
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```bash
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python websocket_server.py
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python server.py
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```
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```
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This would start the websocket server on port ```9090```.
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This would start the websocket server on port ```9090```.
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- Head over to ```Audio-Transcription``` module to unpack and load a chrome extension to capture any audio in the browser(only Chrome for now) and send it to the websocket server to transcribe the audio in the current tab.
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- Head over to ```Audio-Transcription``` module to unpack and load a chrome extension to capture any audio in the browser(only Chrome for now) and send it to the websocket server to transcribe the audio in the current tab.
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## Future Work
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## Future Work
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- [ ] Update Documentation.
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- [ ] Update Documentation.
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- [ ] Keep only a single server implementation i.e. websockets and get rid of the socket implementation in ```server.py```. Also, update ```client.py``` to websockets-client implemenation.
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- [ ] Keep only a single server implementation i.e. websockets and get rid of the socket implementation in ```server.py```. Also, update ```client.py``` to websockets-client implemenation.
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