app.py

import openai
import os
import gradio as gr
openai.api_key = os.environ['openai']
def write_essay(prompt, context, temperature, frequency_penalty, presence_penalty):
    model="gpt-3.5-turbo"
    temp_list = prompt.split()
    temp_list2 = context.split()
    temperature = temperature/10
    frequency_penalty = frequency_penalty/10 - 2
    presence_penalty = presence_penalty/10 -2
    if len(temp_list) >= 100:
        new_prompt = " ".join(temp_list[0:100])
    else:
        new_prompt = prompt

    if len(temp_list2) >= 300:
        new_prompt2 = " ".join(temp_list2[0:300])
    else:
        new_prompt2 = context
    
    response = openai.ChatCompletion.create(
        model=model,
        messages=[{"role": "system", "content": new_prompt2},
                  {"role": "user", "content": new_prompt},],
        max_tokens=400,
        temperature=temperature,
        frequency_penalty=frequency_penalty,
        presence_penalty=presence_penalty
    )

    message = response.choices[0]["message"]["content"]
    #print(message)
    return message
demo = gr.Interface(fn=write_essay, inputs=["text","text",
                                            gr.Slider(0, 20, value=4, step=1, label="Creative vs Focus", info="Increase for creative and decrease for more focused"),
                                            gr.Slider(0, 40, value=20, step=1, label="Frequency of words", info="Increase to decrease repeated words"),
                                            gr.Slider(0, 40, value=20, step=1, label="Presence of words", info="Increase to decrease already appeared words")
                                           ], outputs="text")
demo.launch()