app.py

import openai
import gradio as gr
import os

def get_completion(prompt, api_key, model="text-davinci-002"):
    openai.api_key = api_key
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        temperature=0,
        max_tokens=1024,
    )
    return response.choices[0].text.strip()

def extract_colors(fact_sheet_chair, api_key):
    prompt = f"""
    List character following content: 
      1 - List 4 popular props
      2 - List 4 popular accessories
      3 - List 4 popular clothes

    Use the following format:
    props:<4 popular props>
    accessories:<4 popular accessories>
    clothes:<4 popular clothes>

    character: {fact_sheet_chair}
    """
    response = get_completion(prompt, api_key)
    return response

fact_sheet_chair_input = gr.inputs.Textbox(label="character")
api_key_input = gr.inputs.Textbox(label="OpenAI API")
output_text = gr.outputs.Textbox(label="Output")

title = "Character design inspiration"
description = "basis info"
inputs = [fact_sheet_chair_input, api_key_input]
outputs = [output_text]

gr.Interface(fn=extract_colors, inputs=inputs, outputs=outputs, title=title, description=description).launch()