app.py

import openai
import gradio as gr

# Set your OpenAI API key
openai.api_key = "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"

messages = [{"role": "system", "content": "You are a medical device classification expert based on the risk level as per Indian regulation"}]

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

# Define your Gradio interface here with custom port range
gr.Interface(fn=CustomChatGPT, inputs="text", outputs="text", title="Medical Device Regulation Chat Bot").launch(share=True, port=8888, websocket_port=8889)