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import os | |
import openai | |
import gradio | |
api_key = os.environ["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"] | |
openai.api_key = api_key | |
messages = [{"role": "system", "content": "You are an expert Python developer and more programming languages with years of experience writing Python code and teaching Python to other programmers"}] | |
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}) | |
user_input = '' | |
return ChatGPT_reply | |
demo = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "HAFEEZGPT😂") | |
demo.launch() |