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🧠 Create Your Own Free AI Humanizer with Google Colab

No installation needed — just follow these simple steps to build your own humanizer tool using open-source models and Gradio. Yes, it bypasses Turnitin, ZeroGPT, and sometimes even CopyLeaks. 😉

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🚀 Step 1: Open Google Colab

Go to Google Colab and click "New Notebook".

✅ If available, click on “Connect” and choose a GPU runtime (preferably T4).

📦 Step 2: Install Required Libraries

In the first cell, paste the following and run it:

!pip install gradio transformers sentencepiece

🧠 Step 3: Paste the Humanizer Code

In the second cell, paste the entire code below and run it:

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
import re

tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws")
model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws")
proofread_pipeline = pipeline("text2text-generation", model="vennify/t5-base-grammar-correction")

def clean_output(text):
    text = re.sub(r'[\[\]\"]+', '', text)
    text = re.sub(r"'", '', text)
    text = re.sub(r'\s+', ' ', text).strip()
    return text

def split_sentences(text):
    return [s.strip() for s in re.split(r'(?= 3]
    results = proofread_pipeline(long_sentences, max_new_tokens=256)
    return [clean_output(res['generated_text']) for res in results]

def generate_paraphrase(text, temperature=2.0):
    input_sentences = split_sentences(text)
    paraphrased_sentences = []

    for sentence in input_sentences:
        inputs = tokenizer(sentence, return_tensors="pt", truncation=True)
        outputs = model.generate(
            **inputs,
            max_new_tokens=256,
            do_sample=True,
            temperature=temperature,
            top_p=0.92,
            num_return_sequences=1,
        )
        decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
        paraphrased_sentences.append(clean_output(decoded))

    corrected = proofread_sentences(paraphrased_sentences)
    return " ".join(corrected)

import gradio as gr

iface = gr.Interface(
    fn=generate_paraphrase,
    inputs=gr.Textbox(lines=8, placeholder="Enter text to paraphrase here..."),
    outputs=gr.Textbox(label="Paraphrased Output"),
    title="🧠 AI Paraphraser",
    description="Enter your sentence or paragraph and click 'Submit' to get a paraphrased version with grammar correction.",
    theme="default",
)

iface.launch()

🎉 Done!

After a few seconds, a link like Running on public URL: https://xxxx.gradio.live will appear. Click it and start paraphrasing your content live! ✨

Tip: Bookmark your notebook or save it to Google Drive so you don’t lose it.
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