# import dependencies
import gradio as gr
from openai import OpenAI
import os

# define the openai key
api_key = os.getenv("OPENAI_API_KEY")

# make an instance of the openai client
client = OpenAI(api_key = api_key)

# finetuned model instance
finetuned_model = "ft:gpt-3.5-turbo-0125:cedarbyte-business-solutions::AgGF39px"

# function to humanize the text
def humanize_text(AI_text):
  """Humanizes the provided AI text using the fine-tuned model."""
  response = completion = client.chat.completions.create(
  model=finetuned_model,
  temperature = 0.9,
  messages=[
    {"role": "system", "content": """
    You are a text humanizer.
    You humanize AI generated text."""},
    {"role": "user", "content": f"Humanize the text. Must not be detected by any of the AI detectors out there.\nTEXT: {AI_text}"}
  ]
  )


  return response.choices[0].message.content.strip()


# Gradio interface definition
interface = gr.Interface(
  fn=humanize_text,
  inputs="textbox",
  outputs="textbox",
  title="AI Text Humanizer",
  description="Enter AI-generated text and get a human-written version.",
)

# Launch the Gradio app
interface.launch(debug = True)