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| import os | |
| import openai | |
| import gradio as gr | |
| #if you have OpenAI API key as an environment variable, enable the below | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| #if you have OpenAI API key as a string, enable the below | |
| # openai.api_key = "" | |
| # print("key", openai.api_key) | |
| start_sequence = "\nAI:" | |
| restart_sequence = "\nMe:" | |
| prompt = "Start by typing example content. Then use `Me:` or `AI:` with some clue to train model...\n\nMe: Hello, who are you?\nAI: I am AI created by OpenAI. How can I help you today?\nMe: " | |
| def openai_create(prompt): | |
| response = openai.Completion.create( | |
| model="text-davinci-003", | |
| prompt=prompt, | |
| temperature=0.9, | |
| max_tokens=500, | |
| top_p=1, | |
| frequency_penalty=0, | |
| presence_penalty=0.6, | |
| stop=[" Me:", " 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>ChatGPT Demo</center></h1> | |
| """) | |
| chatbot = gr.Chatbot() | |
| message = gr.Textbox(placeholder=prompt) | |
| state = gr.State() | |
| submit = gr.Button("SEND") | |
| submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state], api_name="chatgpt") | |
| block.launch(debug = True, share = False, auth=("demo", "demo")) | |