simple_chatbot

import os
import openai

# This script was first posted to pastebin at https://pastebin.com/UzN11MKx
# You can find a detailed description of this script in the comments below.
# Rev. 2.5.2

# Set the OpenAI API key to the value of the `OPENAI_API_KEY` environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")

# Define the starting sequence of the conversation
start_sequence = "\nAI:"
restart_sequence = "\nHuman: "

# Initialize the previous response to a pre-defined conversation start sequence
previous_response = "The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly.\n\nHuman: Hello, who are you?\nAI: I am an AI created by Scott on February 2nd at 05:56z. How can I help you today?"

# Set the maximum length of the prompt (conversation history) in characters
max_prompt_length = 2750

# Start an infinite loop to continuously ask for user input and generate responses
while True:
    # Get the user's input
    user_input = input("Human: ")
    # Concatenate the previous response, the user's input, and the AI's response prompt
    prompt = previous_response + restart_sequence + user_input + start_sequence

    # Check if the length of the prompt exceeds the maximum allowed length
    if len(prompt) > max_prompt_length:
        # If it does, truncate the previous response to meet the length requirement
        previous_response = previous_response[-max_prompt_length:]

    # Send the prompt to OpenAI API for response generation
    response = openai.Completion.create(
        model="text-davinci-003",
        prompt=prompt,
        max_tokens=150,
        temperature=0.7,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0,
        stop=[" Human:", " AI:"]
    )

    # Get the response text from the API response
    response_text = response["choices"][0]["text"].strip()
    # Update the previous response to include the new conversation history
    previous_response = prompt + response_text
    # Print the response text
    print(f"Chatbot: {response_text}")