Custom-trained AI Chatbot

This is a Python script for a custom-trained AI chatbot powered by OpenAI's GPT-3.5 Turbo model. The chatbot is designed to interact with users, provide responses, and manage a conversation history. Below is a brief overview of the code and how to use it.

Prerequisites

Before using this code, make sure you have the following prerequisites installed:

• Python (>=3.6)
• Required Python packages (openai, llama_index, tiktoken, gradio, sys, os, json)

You also need to set your OpenAI API key as an environment variable by adding the following line to the code:

os.environ["OPENAI_API_KEY"] = 'your_openai_api_key_here'

Replace 'your_openai_api_key_here' with your actual OpenAI API key.

Code Overview

Imports

The script starts by importing necessary Python packages and libraries, including OpenAI's Python library, llama_index, tiktoken, gradio, sys, os, and json.

JSONDirectoryReader

This class is a custom data reader that loads JSON data from a specified directory.

count_tokens

A utility function that counts the number of tokens in a given text.

clear_history

A function to clear the conversation history.

construct_index

This function constructs an index for the chatbot. It loads documents from a directory and uses them to build an index for quick responses.

chatbot

The core chatbot function. It takes user input, maintains a conversation history, and interacts with the chatbot model to generate responses.

gr.Interface

This code sets up a Gradio interface for the chatbot, allowing users to interact with it through a web-based interface.

Running the Chatbot

The script constructs the index from documents in the "docs" directory and launches the Gradio interface, making the chatbot accessible via a web page.

Usage

1. Ensure you have the necessary prerequisites installed and have set your OpenAI API key.

2. Place your JSON documents in a directory named "docs" in the same directory as this script. Each JSON file should contain a list of conversational documents.

3. Run the script, and the chatbot will be accessible through a web interface.

4. Enter text in the provided textbox, and the chatbot will respond based on the conversation history and the loaded documents.

Note

• The chatbot's behavior and responses can be customized by adjusting the code in the chatbot function and the documents in the "docs" directory.

• This code uses the Gradio library to create a simple web interface for the chatbot. You can customize the interface further as needed.

• The chatbot may have token limits, so ensure that the conversation and input text do not exceed the model's maximum token limit (4096 tokens for GPT-3.5 Turbo).