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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 = "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" | |
start_sequence = "\nAI:" | |
restart_sequence = "\nHuman: " | |
messages = [{"role": "system", "content": "You are a financial experts that specializes in real estate investment and negotiation"}] | |
prompt = "This AI assistant is developed by LandQuire's Data Team by the help of OpenAI.\nThis AI Assistant is a financial experts that specializes in real estate investment and negotiation\nHuman: Hello, who are you?\nAI: I am an AI created by LandQuire. How can I help you today?" | |
def openai_create(user_input): | |
messages.append({"role": "user", "content": user_input}) | |
response = openai.ChatCompletion.create( | |
model = "gpt-3.5-turbo", | |
messages = messages, | |
#prompt=prompt, | |
temperature=0.9, | |
top_p=1, | |
frequency_penalty=0, | |
presence_penalty=0.6, | |
stop=[" Human:", " AI:"] | |
) | |
ChatGPT_reply = response["choices"][0]["message"]["content"] | |
messages.append({"role": "assistant", "content": ChatGPT_reply}) | |
return ChatGPT_reply | |
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(css=".gradio-container {background: url('file=new3.png')}") | |
with block: | |
gr.Markdown("""<h1><center>LandQuire's AI Assistant</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(inline=False) |