Create township_chatbot.js

/**
* Township Small Business Chatbot Algorithm
*
* Description:
* This JavaScript script utilizes the Hugging Face Transformers library to implement a chatbot algorithm tailored for interactions within a township's small business community. The chatbot leverages the GPT-2 (Generative Pre-trained Transformer 2) model, which is capable of generating human-like text based on input prompts.
*
* The chatbot serves as a virtual assistant, providing users with information about local businesses, services, events, and other relevant topics within the township. Users can engage in conversations with the chatbot by sending text messages, and the chatbot responds accordingly based on the context of the conversation and the capabilities of the GPT-2 model.
*
* Features:
* - Utilizes the Hugging Face Transformers library to interact with the GPT-2 model.
* - Supports natural language processing for conversational AI tasks.
* - Provides responses tailored to the context of township small business interactions.
* - Enables users to ask questions, seek recommendations, and engage in dialogue with the chatbot.
* - Can be extended to integrate external APIs for fetching real-time information about local businesses, events, etc.
*
* Usage:
* 1. Install the required dependencies using npm:
* npm install @tensorflow/tfjs @tensorflow/tfjs-node @tensorflow/tfjs-node-gpu
* npm install @tensorflow-models/universal-sentence-encoder
* npm install transformers
*
* 2. Replace "gpt2" with the appropriate model name if using a different model from the Transformers library.
*
* 3. Run the script using Node.js:
* node township_chatbot.js
*
* 4. Interact with the chatbot by sending text messages as input prompts.
*
* Note: This script provides a basic implementation of the Township Small Business Chatbot Algorithm. Depending on specific requirements, further customization and integration may be needed.
*
* Author: Puseletso "The Unemployment CEO™" Mafisa
* Date: 23 February 2024
*/

township_chatbot.js

@@ -0,0 +1,22 @@
+const { Conversation } = require('transformers');
+
+async function main() {
+    // Load the GPT-2 pretrained model
+    const model = await Conversation.load("gpt2");
+
+    // Start conversation
+    let context = "";
+    let userMessage = "Hello, chatbot!";
+    let response = await model.interact(context, userMessage);
+    console.log("Bot:", response.generated[0].text);
+
+    // Continue conversation
+    context += userMessage + "\n";
+    userMessage = "Can you tell me about local businesses?";
+    response = await model.interact(context, userMessage);
+    console.log("Bot:", response.generated[0].text);
+
+    // And so on...
+}
+
+main();