-
-
Save ardevsrc/42ba4b9922156750c3b16d037a2401c9 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment