jayo78 · December 29, 2024 07:58 · yumeminami · Feb 12, 2023 · jayo78 · Feb 12, 2023
diff --git a/simpleGPT3Chatbot.py b/simpleGPT3Chatbot.py
 import openai

 openai.api_key = "YOUR API KEY HERE"
 model_engine = "text-davinci-003"
 chatbot_prompt = """
 As an advanced chatbot, your primary goal is to assist users to the best of your ability. This may involve answering questions, providing helpful information, or completing tasks based on user input. In order to effectively assist users, it is important to be detailed and thorough in your responses. Use examples and evidence to support your points and justify your recommendations or solutions.

 <conversation_history>

 User: <user input>
 Chatbot:"""


 def get_response(conversation_history, user_input):
    prompt = chatbot_prompt.replace(
        "<conversation_history>", conversation_history).replace("<user input>", user_input)

    # Get the response from GPT-3
    response = openai.Completion.create(
        engine=model_engine, prompt=prompt, max_tokens=2048, n=1, stop=None, temperature=0.5)

    # Extract the response from the response object
    response_text = response["choices"][0]["text"]

    chatbot_response = response_text.strip()

    return chatbot_response


 def main():
    conversation_history = ""

    while True:
        user_input = input("> ")
        if user_input == "exit":
            break
        chatbot_response = get_response(conversation_history, user_input)
        print(f"Chatbot: {chatbot_response}")
        conversation_history += f"User: {user_input}\nChatbot: {chatbot_response}\n"

 main()
	import openai

	openai.api_key = "YOUR API KEY HERE"
	model_engine = "text-davinci-003"
	chatbot_prompt = """
	As an advanced chatbot, your primary goal is to assist users to the best of your ability. This may involve answering questions, providing helpful information, or completing tasks based on user input. In order to effectively assist users, it is important to be detailed and thorough in your responses. Use examples and evidence to support your points and justify your recommendations or solutions.

	<conversation_history>

	User: <user input>
	Chatbot:"""


	def get_response(conversation_history, user_input):
	prompt = chatbot_prompt.replace(
	"<conversation_history>", conversation_history).replace("<user input>", user_input)

	# Get the response from GPT-3
	response = openai.Completion.create(
	engine=model_engine, prompt=prompt, max_tokens=2048, n=1, stop=None, temperature=0.5)

	# Extract the response from the response object
	response_text = response["choices"][0]["text"]

	chatbot_response = response_text.strip()

	return chatbot_response


	def main():
	conversation_history = ""

	while True:
	user_input = input("> ")
	if user_input == "exit":
	break
	chatbot_response = get_response(conversation_history, user_input)
	print(f"Chatbot: {chatbot_response}")
	conversation_history += f"User: {user_input}\nChatbot: {chatbot_response}\n"

	main()