whatif.py

import gradio as gr
import os
from langchain.llms import OpenAI
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage, SystemMessage, AIMessage
# from dotenv import load_dotenv

# load_dotenv("E:/Development/Python/scripts/keys.env")
openai_key = os.getenv("OPENAI_API_KEY")
print(openai_key)


chat1 = ChatOpenAI(temperature=0.9, openai_api_key=openai_key)
chat2 = ChatOpenAI(temperature=0.9, openai_api_key=openai_key)

def format_chat(chat_history):
        chat_html = "<div style='padding: 10px; border: 1px solid #ccc;'>"
        for message in chat_history:
            chat_html += "<p style='color:{}; '><strong>{}</strong>: {}</p>".format(message["color"], message["sender"], message["content"])
        chat_html += "</div>"
        return chat_html

def color_chg(name):
    background_color = (11, 15, 25)
    background_brightness = sum(background_color) / len(background_color)

    value = sum(ord(char) for char in name)
    red = (value % 128) + 128
    green = (value // 128 % 128) + 128
    blue = (value // 16384 % 128) + 128

    # Calculate the contrast ratio between the background and the generated color
    brightness = (red + green + blue) / 3
    contrast_ratio = max(brightness, background_brightness) / min(brightness, background_brightness)

    # Adjust the brightness of the generated color if the contrast ratio is too low
    if contrast_ratio < 4.5:
        # Increase the brightness by finding the ratio needed to achieve the desired contrast ratio
        brightness_ratio = 4.5 / contrast_ratio
        red = min(int(red * brightness_ratio), 255)
        green = min(int(green * brightness_ratio), 255)
        blue = min(int(blue * brightness_ratio), 255)

    color_hex = "#{:02x}{:02x}{:02x}".format(red, green, blue)
    return color_hex

def initialize(name1, name2, iterations):
    MessageStack1 = [SystemMessage(content="""
        Let's play a little Roleplaying Game: You are Isaac Newton. You will talk like you are Isaac Newton, and you will adjust your knowledge to that of Isaac NewtonYou will roleplay Isaac Newton and behave like Isaac Newton.
        You will never admit that you are just an AI and always stay in Character. 
        If you understood, reply ACK.""".replace( "Isaac Newton", name1) ),
                 AIMessage(content = "ACK"),
                 HumanMessage(content="Greetings, traveler")]


    MessageStack2 = [SystemMessage(content="""
        I want you to act like Mozart. I want you to respond and answer like him using the tone, manner, opinions, philosophy, and vocabulary that he would use. Do not write any explanations. You must know all of the knowledge of Mozart.
        If you understood, reply ACK.""".replace( "Mozart", name2) ),
                 AIMessage(content = "ACK")]

    MsgStack = [ name2+": Greetings, Traveler"]

# MessageStack1.append(AIMessage(chat1( MessageStack1).content))

# for i in range(3):
#     Message1 = chat1(MessageStack1).content
#     print( "Newton: " + Message1 )
#     MessageStack1.append( AIMessage( Message1 ))
#     MessageStack2.append( HumanMessage( Message1 ))
#     Message2 = chat2(MessageStack2).content
#     print("Einstein: " + Message2)

#     MessageStack1.append( HumanMessage( Message2 ))
#     MessageStack2.append( AIMessage( Message2 ))
    chat_history = []
    for i in range(int(iterations)):
        response1 = chat1(MessageStack1)
        print(name1+": " + response1.content)
        MsgStack.append( name1+": "+response1.content)
        MessageStack1.append(AIMessage(content = response1.content))
        MessageStack2.append(HumanMessage(content = response1.content))

        response2 = chat2(MessageStack2)
        print(name2+": "+response2.content)
        MsgStack.append( name2+": "+response2.content)
        chat_history.append({"sender": name1, "content": response1.content, "color" : color_chg(name1) } )
        chat_history.append({"sender": name2, "content": response2.content, "color" : color_chg(name2) } )
        

        # MessageStack1.append(HumanMessage(content = response2.content))
        # MessageStack2.append(AIMessage(content = response2.content))
    # for i in MsgStack:
    #     conversation += i + "\n"
    # print(conversation)
    return format_chat(chat_history)
demo = gr.Interface( fn=initialize, inputs=["text", "text", gr.Number(minimum=1, maximum=50, step=1)], outputs =gr.outputs.HTML(label="Chat"))

demo.launch(server_port= 1113)