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import openai | |
import gradio | |
openai.api_key = "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" | |
messages = [{"role": "system", "content": "You are a Chatbot who only talks related to subject mathematics"}] | |
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}) | |
return ChatGPT_reply | |
demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "Doctor") | |
demo.launch() |