app.py

import gradio as gr
from transformers import pipeline

# Load the paraphrasing pipeline
paraphraser = pipeline("text2text-generation", model="Eemansleepdeprived/Humaneyes")

# Define a function that calls the model
def paraphrase_text(text):
    result = paraphraser(
        text,
        max_length=128,
        do_sample=True,
        top_k=50,
        top_p=0.95,
        temperature=0.9,
        repetition_penalty=1.2,
        num_return_sequences=1
    )
    return result[0]['generated_text']


# Create a Gradio interface
iface = gr.Interface(
    fn=paraphrase_text,
    inputs=gr.Textbox(lines=6, placeholder="Paste your AI-generated text here..."),
    outputs="text",
    title="AI Text Humanizer",
    description="Make AI-generated text sound more human-like using T5 paraphraser.",
    theme="compact"
)

# Launch the app
iface.launch()