SSN-Core: Sensor and Servo Network Core Framework

Overview

The SSN-Core framework provides a robust and flexible foundation for developing applications that involve sensor data processing, natural language understanding (NLU), text-to-speech (TTS) capabilities, and servo control. This framework is designed for developers looking to create complex systems with integrated sensor and servo operations, alongside advanced NLU and TTS functionalities.

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Installation

1. Clone the repository:

   git clone https://github.com/HermiTech-LLC/SSN-core.git
   cd SSN-core

2. Install required dependencies: Ensure you have Python 3.8+ installed. Then, install the necessary Python packages:

   pip install -r requirements.txt

Usage

1. Configuration: Configure the necessary settings in core_framework.py, nlu_tts_modules.py, and servo_control_module.py as per your application requirements.

2. Running the application: Execute the main script to start the application:

   python main.py

Files Description

• core_framework.py: Contains the core functionalities and classes required for initializing and managing the sensor and servo network. This file is the backbone of the framework, ensuring smooth communication between different modules.

• nlu_tts_modules.py: Includes the modules responsible for natural language understanding and text-to-speech. This file contains methods for processing user input, understanding commands, and generating speech output.

• servo_control_module.py: Manages the control of servos. It provides functions to initialize servos, send control signals, and manage their states.

• main.py: The entry point of the application. This file integrates all modules and starts the execution of the framework.

Example

The main script initializes the Multimodal SNN, sets the modules, trains the network, and handles various inputs:

1. Sentiment Analysis:

   sentiment_result = snn.handle_input('nlu', 'Hello, how are you?', task='sentiment')

2. Question Answering:

   qa_result = snn.handle_input('nlu', text='Who is the president of the United States?', task='qa', context='Joe Biden is the president of the United States.')

3. Text-to-Speech:

   audio_data = snn.handle_input('tts', 'This is a test.', lang='en', slow=False)

4. Servo Control:

   servo_response = snn.handle_input('servo', {'servo_1': 90, 'servo_2': 45})

License

This project is licensed under the BSD 3-Clause License. See the LICENSE file for more details.