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DSN is a powerful and innovative interactive prompt framework that combines the power of large language models with deep learning capabilities, creating truly intelligent and engaging conversational experiences.

DSN can:

• Understand and respond to your natural language requests - Ask it anything, and it will do its best to fulfill your requests.
• Execute commands and scripts - The framework will automatically execute code or commands on your computer, using actions to directly handle your requests.
• Search files and information - Effortlessly find files on your computer or search for information online.
• Learn from your interactions - DSN continuously learns from your interactions, improving its responses over time.
• Integrate with external plugins - Easily extend DSN's functionality using custom plugins.
• Support local model deployment - Run DSN offline using your custom models.
• Generate experience-accelerated models - Leverage your previous conversation history to build faster and more efficient models.
• More features are waiting to be explored!

Features:

• Voice control: Speak to DSN and let it hear your commands!
• Local model support: Use your own custom models for privacy and offline access.
• Advanced search capabilities: Search files by name, type, or keyword.
• Customizable settings: Adjust DSN to your needs by modifying settings in config.py.
• Error handling: DSN handles errors gracefully and offers fully autonomous troubleshooting.
• Experience acceleration: Train DSN with your chat history for increased efficiency and speed.

Getting started:

1. Prerequisites:

• Python 3.11+: Install Python from the official website (version 3.11.2 is recommended).
• Google Cloud Platform API Key (for online model access): You can get a free trial API key here.
• Everything Search Engine (for file searching): Download the full version from its website and install it in the "binaries" folder of this cloned repository.
• Moondream model: Download from Huggingface and place it in the instances\\moondream folder of this cloned repository.
• ChatTTS model: Obtain the modified integrated ChatTTS model from here, then unzip it into the instances\\chatTTS folder of this cloned repository. Extraction code: 1145
• Paraformer model: Obtain it from Modelscope, then unzip it into the instances\\paraformer-zh folder of this cloned repository.
• Note: When unzipping the above models, simply unzip the contained files into the specified folder, do not unzip the folder within the compressed file.

2. Installation:

1. Clone the repository:

   git clone https://github.com/ccjjfdyqlhy/DSN.git

2. Install necessary packages from install_before_requirements.txt.
3. Download the DSN-local.NT model:
   • This model is not currently available publicly. Please contact the author to obtain it personally.
4. Install dependencies:

   pip install -r requirements.txt

3. Configuration:

• Open config.py and adjust the following settings:

  • GENAI_APIKEY: Your Google Cloud Platform API key.
  • USERNAME: Your desired username.
  • CITY: Your city.
  • TIMEZONE: Your preferred timezone.
  • USER_PYTHON: The path to your preferred Python interpreter.
  • AI_NAME: The name you want to give your AI.
  • Set MODEL_PATH to the absolute path of the DSN-local.NT file.

• Optional:

  • You can enable voice control by setting SPEECH_CONTROL to True in config.py.
  • For offline use, set USE_LOCAL to True.

• For more information, please refer to config.py.

4. Launching DSN:

• Open a command prompt or terminal and navigate to the project directory:

  cd DSN

• Run the main program:

  python DSN.Launch.py

5. Enjoy the conversation!

DSN is now ready to answer your questions, execute your commands, and help you with your tasks.

How to build an experience-accelerated model:

1. Start a conversation with DSN.
2. Type "BUILD_TRAIN_DATA".
3. DSN will guide you to read the conversation history files in the generated\\chat_history folder.
4. After reading each file, summarize the key points and provide your feedback.
5. Once satisfied, DSN will build an experience-accelerated model based on your input.

Other Notes:

• Please Note: You must read and agree to all terms of use in the LICENCE file before starting to use.
• You will be presented with other features upon activating the interactive terminal.