vocochat 0.1.2

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Audio Library

This is a Python library for audio interface, including text-to-speech (TTS), speech-to-text (STT), audio playback, recording, and processing. It can be used in desktop apps, web apps, and provides a simple API for integration.

Features

• Text-to-speech conversion
• Speech-to-text conversion
• Audio playback
• Audio recording
• Audio processing

Installation

1. Clone the repository:

git clone https://github.com/yourusername/audio-library.git
cd audio-library

2. Build and run the Docker container:

docker-compose up --build

This will build the Docker image, install all dependencies (including PortAudio), and run the unit tests.

Usage

Here's an example of how to use the various features of the library:

from vocochat.audio.audio import AudioInterface

audio = AudioInterface()

# Text-to-speech example
text = "Hello, this is a test of the text-to-speech functionality."
audio_data = audio.text_to_speech(text)
audio.play_audio(audio_data)

# Speech-to-text example 
print("Speak now...")
audio_data = audio.record_audio(duration=5)
text = audio.speech_to_text(audio_data)
print(f"You said: {text}")

# Audio processing example
processed_audio_data = audio.process_audio(audio_data)
audio.play_audio(processed_audio_data)

See the examples directory for more detailed usage examples.

API

AudioInterface

The main interface for the audio library.

text_to_speech(text)

Convert text to speech.

speech_to_text(audio_data)

Convert speech to text.

play_audio(audio_data)

Play audio data.

record_audio(duration)

Record audio from the microphone for the specified duration (in seconds).

process_audio(audio_data)

docker compose up --build

pip install pyaudio
sudo dnf install portaudio-devel redhat-rpm-config
pip install --user pyaudio

Process audio data (e.g., noise reduction, format conversion, etc.).

Contributing

Contributions are welcome! Please see the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.