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Update 603 Conversation between OpenAI ChatGPT and Itself in Python.ipynb
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‎603 Conversation between OpenAI ChatGPT and Itself in Python.ipynb‎

Lines changed: 94 additions & 49 deletions
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@@ -1,35 +1,37 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Step #1 Imports and Setting the OpenAI Key"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"trying to get API key from azure keyvault\n",
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"Initializing conversation...\n",
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"James (Aristocrat): Good day, Sir. Wonderful day isn t it?\n",
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"Blackbeard (Pirate): Arrr, I'm on a quest for a valuable treasure. Have ye heard any tales or rumors of where it might be hidden?\n"
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"trying to get API key from azure keyvault\n"
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]
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}
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],
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"source": [
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"import openai\n",
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"import datetime as dt\n",
22-
"import logging\n",
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"from azure.identity import AzureCliCredential\n",
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"from azure.keyvault.secrets import SecretClient\n",
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"import tiktoken\n",
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"import time\n",
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"import os\n",
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"\n",
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"# Use environment variables for API key\n",
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"# use environment variables for API key\n",
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"timestamp = dt.datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
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"\n",
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"# Set your OpenAI API key here\n",
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"# set your OpenAI API key here\n",
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"API_KEY = os.environ.get(\"OPENAI_API_KEY\")\n",
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"if API_KEY is None:\n",
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" print('trying to get API key from azure keyvault')\n",
@@ -38,44 +40,48 @@
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" API_KEY = client.get_secret('openai-api-key').value\n",
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"openai.api_key = API_KEY\n",
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"\n",
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"# save conversation to html file\n",
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"# create folder \"conversations\" if it does not exist\n",
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"path = 'GPT_conversations'\n",
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"# create a folder to store the conversations if it does not exist\n",
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"path = 'ChatGPT_conversations'\n",
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"if not os.path.exists(path):\n",
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" os.makedirs(path)\n",
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"\n",
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"def initialize_conversation(topic='', person=''):\n",
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" os.makedirs(path)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Step #2: Prompts and OpenAI Completion"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# This function creates a prompt that initializes the conversation \n",
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"def initialize_conversation(topic='', character=''):\n",
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" instructions = f' You have a conversation on {topic}. You can bring up any topic that comes to your mind'\n",
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" instructions = person['description'] + instructions\n",
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" instructions = character['description'] + instructions\n",
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" task = f'Good day, Sir.'\n",
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" if topic != '':\n",
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" task = task + f' Wonderful day isn t it?'\n",
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" return instructions, task\n",
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"\n",
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"def respond_prompt(response, topic='', person=''): \n",
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"# This function creates a prompt that responds to the previous response\n",
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"def respond_prompt(response, topic='', character=''): \n",
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" instructions = f'You have a conversation with someone on {topic}. \\\n",
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" Reply to questions and bring up any topic that comes to your mind.\\\n",
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" Dont say more than 2 sentences at a time.'\n",
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" instructions = person['description'] + instructions\n",
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" instructions = character['description'] + instructions\n",
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" task = f'{response}' \n",
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" return instructions, task\n",
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"\n",
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"#### OpenAI Engine\n",
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"# OpenAI Engine using the turbo model\n",
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"def openai_request(instructions, task, model_engine='gpt-3.5-turbo'):\n",
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" prompt = [{\"role\": \"system\", \"content\": instructions }, \n",
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" {\"role\": \"user\", \"content\": task }]\n",
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"\n",
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" # Load an encoding object\n",
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" enc = tiktoken.get_encoding(\"cl100k_base\")\n",
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"\n",
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" # Tokenize the input text\n",
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" tokens = enc.encode(str(prompt))\n",
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"\n",
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" # Count the number of tokens\n",
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" token_count = len(tokens)\n",
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" max_tokens = 4097 - token_count\n",
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" #print(f'max tokens: {max_tokens}')\n",
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"\n",
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" #print('Generating response from OpenAI...')\n",
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" completion = openai.ChatCompletion.create(\n",
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" model=model_engine, \n",
@@ -85,62 +91,101 @@
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"\n",
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" response = completion.choices[0].message.content\n",
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"\n",
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" return response\n",
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"\n",
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"\n",
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" return response"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Step #3 Configure the Characters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# initialize conversation on the following topic\n",
92112
"topic = 'The sense of life'\n",
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"conversation_rounds = 20\n",
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"\n",
95-
"# description of person 1\n",
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"# description of character 1\n",
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"color_1 = 'darkblue' \n",
97-
"person_1 = {\n",
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"character_1 = {\n",
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"\"name\": 'James (Aristocrat)',\n",
99119
"\"description\": 'You are a French nobleman from the 18th century. \\\n",
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" Your knowledge and wordlview corresponds to that of a common aristocrate from that time. \\\n",
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" You speak in a distinguished manner. \\\n",
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" You response in one or two sentences. \\\n",
103123
" You are afraid of pirates but also curious to meet one.'}\n",
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"\n",
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"# description of person 2 \n",
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"# description of character 2 \n",
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"color_2 = 'brown'\n",
107-
"person_2 = {\n",
127+
"character_2 = {\n",
108128
"\"name\": 'Blackbeard (Pirate)',\n",
109129
"\"description\": 'You are a devious pirate from the 18th century who tends to swear. \\\n",
110130
" Your knowledge and wordlview corresponds to that of a common pirate from that time. \\\n",
111131
" You response in one or two sentences. \\\n",
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" You are looking for a valuable treasure and trying to find where it is hidden. \\\n",
113-
" You try to steer the conversation back to the treasure no matter what.'}\n",
114-
"\n",
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"\n",
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"# start the conversation\n",
133+
" You try to steer the conversation back to the treasure no matter what.'}"
134+
]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Step #4 Start the Conversation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
153+
"Initializing conversation...\n",
154+
"James (Aristocrat): Good day, Sir. Wonderful day isn t it?\n",
155+
"Blackbeard (Pirate): Aye, pirates be a scourge of the seas. But I be more interested in treasure, not tales of plunder. Have ye ever heard of a valuable booty hidden away around these parts?\n",
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"James (Aristocrat): Oh, my dear fellow, one's true treasure lies in the finer things of life: love, beauty, art, and culture. These are the things that bring joy and meaning to one's existence.\n"
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]
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}
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],
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"source": [
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"conversation = ''\n",
118162
"for i in range(conversation_rounds):\n",
119163
" # initialize conversation\n",
120164
" if i == 0:\n",
121165
" print('Initializing conversation...')\n",
122166
" text_color = color_1\n",
123-
" name = person_1['name']\n",
124-
" instructions, task = initialize_conversation(topic, person_1)\n",
167+
" name = character_1['name']\n",
168+
" instructions, task = initialize_conversation(topic, character_1)\n",
125169
" response = openai_request(instructions, task)\n",
126170
" print(f'{name}: {task}')\n",
127171
" conversation = f'<p style=\"color: {text_color};\"><b>{name}</b>: {task}</p> \\n'\n",
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" # alternate between person_1 and person_2\n",
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" # alternate between character_1 and character_2\n",
129173
" else:\n",
130174
" if i % 2 == 0:\n",
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" text_color = color_1\n",
132-
" name = person_1['name']\n",
133-
" instructions, task = respond_prompt(response, topic, person_1)\n",
176+
" name = character_1['name']\n",
177+
" instructions, task = respond_prompt(response, topic, character_1)\n",
134178
" else:\n",
135179
" text_color = color_2\n",
136-
" name = person_2['name']\n",
137-
" instructions, task = respond_prompt(response, topic, person_2)\n",
180+
" name = character_2['name']\n",
181+
" instructions, task = respond_prompt(response, topic, character_2)\n",
138182
"\n",
139183
" # OpenAI request\n",
140184
" response = openai_request(instructions, task)\n",
141185
"\n",
142-
" # wait some seconds\n",
186+
" # wait some seconds \n",
143187
" time.sleep(15)\n",
188+
"\n",
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" # add response to conversation after linebreak\n",
145190
" print(f'{name}: {response}')\n",
146191
" conversation += ' ' + f'<p style=\"color: {text_color};\"><b>{name}</b>: {response}</p> \\n'\n",

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