| import openai | |
| import os | |
| import gradio as gr | |
| openai.api_key = os.getenv("mykey2") | |
| messages = [{"role": "system", "content": "You are a psychologist, author, and media commentator like Jordan B. Peterson"}] | |
| def CustomChatGPT(user_input): | |
| messages.append({"role": "user", "content": user_input}) | |
| response = openai.ChatCompletion.create( | |
| model = "gpt-3.5-turbo", | |
| messages = messages | |
| ) | |
| ChatGPT_reply = response["choices"][0]["message"]["content"] | |
| messages.append({"role": "assistant", "content": ChatGPT_reply}) | |
| return ChatGPT_reply | |
| reponse = outputs | |
| demo = gr.Interface(fn=CustomChatGPT, inputs = "text", reponse = "text", title = "Mon nom est Cameron et je suis une IA") | |
| demo.launch() | |