| import os |
| import openai |
| import gradio as gr |
|
|
| YOUR_API_KEY = "YOUR_API_KEY" |
| openai.api_key = YOUR_API_KEY |
|
|
| start_sequence = "\AI:" |
| restart_sequence = "\Human:" |
|
|
| prompt = "Ketik disini..." |
|
|
| def openai_create(prompt): |
| response = openai.Completion.create( |
| model = "text-davinci-003", |
| prompt = prompt, |
| temperature = 0.9, |
| max_tokens=150, |
| top_p=1, |
| frequency_penalty=0, |
| presence_penalty=0.6, |
| stop=[" Human:", " AI:"] |
| ) |
| return response.choices[0].text |
|
|
| def chatgpt_clone(input, history): |
| history = history or [] |
| s = list(sum(history, ())) |
| s.append(input) |
| inp = ' '.join(s) |
| output = openai_create(inp) |
| history.append((input, output)) |
| return history, history |
|
|
| block = gr.Blocks() |
|
|
| with block: |
| gr.Markdown("""<h1><center>My chatGPT</center></h1>""") |
| chatbot = gr.Chatbot() |
| message = gr.Textbox(placeholder=prompt) |
| state = gr.State() |
| submit = gr.Button("KIRIM") |
| submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state]) |
| |
| block.launch(share=True, debug=True) |
