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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]) | |
block.launch(debug = True, share = False) | |