app.py

import gradio as gr
import json
import os
import openai

INIT_PROMPT = """
I would like to engage your services as an academic writing consultant to improve my writing. 
I will provide you with text that requires refinement, and you will enhance it with more academic language and sentence structures.
The essence of the text should remain unaltered, including any LaTeX commands. 
I request that you provide only the improved version of the text without any further explanations.
"""

PREFIX_PROMPT = "Please refine the following text in academic English: \n"

print(f'[INFO] Loading API key from env...')

openai.api_key = os.getenv("OPENAI_API_KEY")

if openai.api_key is None:
    print('[WARN] OPENAI_API_KEY key not found in env')

def submit(x, simple=False):
    # everytime we restart a new conversation.
    if simple:
        results = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "user", "content": PREFIX_PROMPT + x},
            ]
        )
    else:    
        results = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "system", "content": INIT_PROMPT},
                {"role": "user", "content": PREFIX_PROMPT + x},
            ]
        )
    total_tokens = results['usage']['total_tokens']
    cost = (total_tokens / 1000) * 0.002 # in dollar
    response = results['choices'][0]['message']['content']
    return response, cost

print(f'[INFO] Starting Gradio APP...')

with gr.Blocks() as app:
    gr.Markdown("### ChatGPT, please help to improve my paper writing!")

    # allow setting API key in gui
    with gr.Row():
        api_input = gr.Textbox(label="OPENAI_API_KEY", value=openai.api_key, lines=1)
        def save_api(x): openai.api_key = x
        api_input.change(save_api, api_input)

    simple_checkbox = gr.Checkbox(value=False, label='simple mode (only send the prefix prompt, 0.00142$ cheaper per query)')

    with gr.Row():

        text_input = gr.Textbox(label="Input", lines=10)

        with gr.Column():
            text_output = gr.Textbox(label="Output", lines=10)
            cost = gr.Number(label='cost of this query ($)')

    text_button = gr.Button("Submit")
    text_button.click(submit, inputs=[text_input, simple_checkbox], outputs=[text_output, cost])
    
app.launch()