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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) |