├── 01 chatgpt simple
├── 02 chatgpt chat assistant copy.py
└── 03 chatgpt chat assistant website.py


/01 chatgpt simple:
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1 | import openai
2 | 
3 | openai.api_key = "####"
4 | 
5 | completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Give me 3 ideas for apps I could build with openai apis "}])
6 | print(completion.choices[0].message.content)


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/02 chatgpt chat assistant copy.py:
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 1 | import openai
 2 | 
 3 | openai.api_key = "####"
 4 | 
 5 | messages = []
 6 | system_msg = input("What type of chatbot would you like to create?\n")
 7 | messages.append({"role": "system", "content": system_msg})
 8 | 
 9 | print("Your new assistant is ready!")
10 | while input != "quit()":
11 |     message = input()
12 |     messages.append({"role": "user", "content": message})
13 |     response = openai.ChatCompletion.create(
14 |         model="gpt-3.5-turbo",
15 |         messages=messages)
16 |     reply = response["choices"][0]["message"]["content"]
17 |     messages.append({"role": "assistant", "content": reply})
18 |     print("\n" + reply + "\n")


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/03 chatgpt chat assistant website.py:
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 1 | import openai
 2 | import gradio
 3 | 
 4 | openai.api_key = "####"
 5 | 
 6 | messages = [{"role": "system", "content": "You are a financial experts that specializes in real estate investment and negotiation"}]
 7 | 
 8 | def CustomChatGPT(user_input):
 9 |     messages.append({"role": "user", "content": user_input})
10 |     response = openai.ChatCompletion.create(
11 |         model = "gpt-3.5-turbo",
12 |         messages = messages
13 |     )
14 |     ChatGPT_reply = response["choices"][0]["message"]["content"]
15 |     messages.append({"role": "assistant", "content": ChatGPT_reply})
16 |     return ChatGPT_reply
17 | 
18 | demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "Real Estate Pro")
19 | 
20 | demo.launch(share=True)


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