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import openai | |
import gradio as gr | |
import os | |
openai.api_key = os.getenv("OPENAI_API_KEY") | |
messages = [ | |
{"role": "system", "content": "You are a learning assistant specialized in business information systems."}, | |
] | |
def chatbot(input): | |
if input: | |
messages.append({"role": "user", "content": input}) | |
chat = openai.chat.completions.create( | |
model="gpt-3.5-turbo", messages=messages | |
) | |
reply = chat.choices[0].message.content | |
messages.append({"role": "assistant", "content": reply}) | |
return reply | |
inputs = gr.Textbox(lines=7, label="Ask questions related to the course.") | |
outputs = gr.Textbox(label="Reply") | |
iface = gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="Virtual TA", | |
description="This is a prototype of learning assistant designed for MIS 320 online section.", | |
theme="compact") | |
iface.launch(inline=True) | |