app.py

import gradio as gr
from transformers import pipeline

# Load the text-to-text generation model
generator = pipeline("text2text-generation", model="MBZUAI/LaMini-Flan-T5-783M")

def humanize_text(input_text):
    if not input_text.strip():
        return "Please enter some text to humanize."
    prompt = "Paraphrase this more naturally: " + input_text
    result = generator(prompt, max_length=256, do_sample=True)
    return result[0]["generated_text"]

# Launch the Gradio app
gr.Interface(
    fn=humanize_text,
    inputs=gr.Textbox(lines=6, label="Input Text", placeholder="Paste your AI text here..."),
    outputs=gr.Textbox(label="Humanized Text"),
    title="🤖 AI Humanizer",
    description="This tool makes robotic or AI-generated text sound more natural and human-like. Powered by Hugging Face."
).launch()