| import openai |
| import gradio |
|
|
|
|
| messages = [] |
| system_msg = "You are a qliksense developer and data analyst. Give only Qliksense related answers for the rest of the questions say it is not in your perview." |
| print(system_msg) |
| messages.append({"role": "system", "content": system_msg}) |
| print(messages) |
|
|
| def CustomChatGPT(user_input): |
| messages.append({"role": "user", "content": user_input}) |
| response = openai.ChatCompletion.create( |
| model = "gpt-3.5-turbo", |
| messages = messages |
| ) |
| ChatGPT_reply = response["choices"][0]["message"]["content"] |
| messages.append({"role": "assistant", "content": ChatGPT_reply}) |
| print(messages) |
| return ChatGPT_reply |
|
|
|
|
| demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "QlikSense pro helper by Kaush test 2") |
|
|
| demo.launch(share=True) |
