Update Lollms-server.md

Added disclamer

doc/Lollms-server.md

@@ -2,31 +2,52 @@
 
 LoLLMs (Lord of Large Language Models) is a powerful text generation framework that leverages distributed or centralized architecture with multiple service nodes. It enables users to generate text using various models and personalities. This documentation will guide you through the installation, setup, and usage of LoLLMs.
 
+## Prerequisites
+
+Before installing LoLLMs, ensure that you have the following prerequisites:
+
+- Python 3.10: LoLLMs requires Python 3.10 or later. If you don't have Python installed, you can download it from the official Python website: [python.org](https://www.python.org/downloads/).
+
+- pip: The Python package installer (`pip`) is required to install LoLLMs and its dependencies. pip usually comes pre-installed with Python. However, if you don't have pip installed or need to upgrade it, refer to the [pip installation guide](https://pip.pypa.io/en/stable/installing/) for instructions.
+
+- Build Tools (optional): Some bindings used by LoLLMs may require build tools to be installed. Build tools are used to compile native code during the installation process. If you encounter any issues during installation related to missing build tools, you may need to install them. Refer to the documentation of your operating system or package manager for instructions on installing build tools.
+
+- CUDA (optional, for GPU support): If you want to enable GPU support for certain bindings, you need to have CUDA installed. CUDA is a parallel computing platform and programming model developed by NVIDIA. GPU support can significantly improve the performance of LoLLMs for certain tasks. To install CUDA, follow the instructions provided in the [NVIDIA CUDA Toolkit documentation](https://docs.nvidia.com/cuda/).
+
 ## Installation
 
-To install LoLLMs, follow these steps:
+To install LoLLMs and its dependencies, follow these steps:
 
 1. Open your terminal or command prompt.
-2. Run the following command:
 
-```shell
-pip install lollms
-```
+2. Run the following command to install LoLLMs using pip:
+
+   ```shell
+   pip install lollms
+   ```
+
+   If you encounter any permission issues, you may need to use `sudo` or run the command in an elevated prompt.
+
+3. Wait for the installation process to complete. It may take some time depending on your internet connection and the system's configuration.
 
 ## Setup
 
 After installing LoLLMs, you need to set it up before using it. Follow the steps below:
 
 1. Open your terminal or command prompt.
-2. Run the following command:
 
-```shell
-lollms-settings
-```
+2. Run the following command to access the LoLLMs settings:
+
+   ```shell
+   lollms-settings
+   ```
 
 3. In the settings prompt, select the desired binding, such as `ctransformer`, from the available options.
+
 4. Choose a model from the provided options.
+
 5. Optionally, select one of the preconditioned personalities. There are 260 personalities available.
+
 6. Save the settings.
 
 ## Starting the LoLLMs Server
@@ -34,11 +55,12 @@ lollms-settings
 To start the LoLLMs server, follow these steps:
 
 1. Open your terminal or command prompt.
+
 2. Run the following command:
 
-```shell
-lollms-server
-```
+   ```shell
+   lollms-server
+   ```
 
 3. This will start a local server on `localhost:9600`.
 
@@ -56,38 +78,72 @@ LoLLMs provides a user-friendly playground for generating text. You can use the
 
 To use the LoLLMs playground:
 
-1. Clone the [LoLLMs Playground repository](https://github.com/ParisNeo/lollms-playground) from GitHub.
+1. Clone the [
+
+LoLLMs Playground repository](https://github.com/ParisNeo/lollms-playground) from GitHub.
+
 2. Open the playground in your web browser.
 
 ## Generating Text with LoLLMs
 
-To generate text using LoLLMs, you can use the provided socket.io interface. The following code snippet demonstrates how to generate text using the socket.io interface:
+To generate text using LoLLMs, you can use the provided socket.io interface. Refer to the example below:
 
 ```javascript
-socket.emit('generate_text', {
-  prompt,
+// Import the required libraries
+const io = require('socket.io-client');
+
+// Connect to the LoLLMs server
+const socket = io('http://localhost:9600');
+
+// Event handler for receiving generated text
+socket.on('generated_text', (data) => {
+  const generatedText = data.text;
+  
+  // Display the generated text
+  console.log('Bot:', generatedText);
+});
+
+// Event handler for receiving user input
+function handleUserInput(input) {
+  // Send user input to the LoLLMs server for text generation
+  socket.emit('generate_text', {
+    prompt: input,
     personality: -1,
-  n_predicts: 1024,
+    n_predicts: 1,
     parameters: {
-    temperature: temperatureValue,
-    top_k: topKValue,
-    top_p: topPValue,
-    repeat_penalty: repeatPenaltyValue,
-    repeat_last_n: repeatLastNValue,
-    seed: parseInt(seedValue)
+      temperature: 0.8,
+      top_k: 0,
+      top_p: 0.9,
+      repeat_penalty: 1.2,
+      repeat_last_n: 3,
+      seed: 42
     }
+  });
+}
+
+// Example usage: Chat interaction
+// Simulate a conversation with the LoLLMs chatbot
+
+// Send initial greeting
+handleUserInput('Hello');
+
+// Wait for user input from the console
+process.stdin.on('data', (data) => {
+  const userInput = data.toString().trim();
+  
+  // Send user input to the chatbot
+  handleUserInput(userInput);
 });
 ```
 
-In the code snippet:
+Please note that this example assumes you have the required libraries installed (`socket.io-client`). Save the script as a `.js` file and execute it using Node.js.
 
-- `prompt`: The input text or prompt to generate text from.
-- `personality`: The ID of the mounted personalities in the server. Use `-1` to revert to simple generation without personality support.
-- `n_predicts`: The number of predicted texts to generate.
-- `parameters`: Additional parameters for text generation, such as `temperature`, `top_k`, `top_p`, `repeat_penalty`, `repeat_last_n`, and `seed`.
+## Disclaimer
 
-Feel free to adjust the parameters according to your requirements.
+Text generation using LoLLMs is a powerful tool that can enhance productivity and stimulate creativity. However, it is important to use this tool responsibly and ethically. LoLLMs should not be used for any malicious purposes or to generate harmful or misleading content. The generated text should be carefully reviewed and validated before being used in any public or critical contexts.
+
+Always consider the implications and potential biases associated with text generation. Use LoLLMs as a tool to explore ideas, aid in writing, or expand your imagination. Respect copyright laws, privacy, and the rights of others when using LoLLMs for any purpose.
 
 ## Conclusion
 
-Congratulations! You have successfully installed, set up, and used LoLLMs. You can now generate text using the provided interface or the playground. Explore the capabilities of LoLLMs and enjoy generating text with large language models!
+Congratulations! You have successfully installed, set up, and used LoLLMs. Ensure that you have Python 3.10 or later, pip, and any necessary build tools installed. If you want to enable GPU support, consider installing CUDA. You can now generate text using the provided interface or the playground. Explore the capabilities of LoLLMs and enjoy generating text with large language models!