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@@ -3,7 +3,6 @@
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*Easy-to-use, low-latency speech-to-text library for realtime applications*
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----
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## About the Project
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@@ -22,7 +21,6 @@ It's ideal for:
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> **Hint**: *Check out [RealtimeTTS](https://github.com/KoljaB/RealtimeTTS), the output counterpart of this library, for text-to-voice capabilities. Together, they form a powerful realtime audio wrapper around large language models.*
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----
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## Tech Stack
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@@ -38,7 +36,6 @@ This library uses:
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*These components represent the "industry standard" for cutting-edge applications, providing the most modern and effective foundation for building high-end solutions.*
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----
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## Installation
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@@ -72,7 +69,6 @@ If you plan to use RealtimeSTT with GPU support via CUDA, please follow these st
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**Note**: To check if your NVIDIA GPU supports CUDA, visit the [official CUDA GPUs list](https://developer.nvidia.com/cuda-gpus).
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----
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## Quick Start
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@@ -123,7 +119,6 @@ recorder = AudioToTextRecorder(on_recording_started=my_start_callback,
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on_recording_finished=my_stop_callback)
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```
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----
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## Testing the Library
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@@ -151,7 +146,6 @@ The test subdirectory contains a set of scripts to help you evaluate and underst
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- **Dependencies**: Run `pip install openai realtimetts`.
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- **Description**: A basic talkbot in 20 lines of code.
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----
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## Configuration
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@@ -197,7 +191,6 @@ When you initialize the `AudioToTextRecorder` class, you have various options to
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- **on_wakeword_timeout**: Callback function to be called when the system goes back to an inactive state after when no speech was detected after wake word activation.
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----
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## Contribution
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@@ -211,6 +204,4 @@ MIT
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Kolja Beigel
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Email: kolja.beigel@web.de
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-[GitHub](https://github.com/KoljaB/RealtimeSTT)
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-
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----
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+[GitHub](https://github.com/KoljaB/RealtimeSTT)
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Kolja Beigel