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https://github.com/rafaykhattak/plagsnipe
By analyzing the linguistic complexity and repetitiveness of the text, PlagSnipe provides accurate insights into the authenticity and originality of written content, helping users identify potential instances of AI-generated text with precision and confidence.
https://github.com/rafaykhattak/plagsnipe
deep-neural-networks gpt2 gpt2tokenizer nltk pytorch transformers
Last synced: 24 days ago
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By analyzing the linguistic complexity and repetitiveness of the text, PlagSnipe provides accurate insights into the authenticity and originality of written content, helping users identify potential instances of AI-generated text with precision and confidence.
- Host: GitHub
- URL: https://github.com/rafaykhattak/plagsnipe
- Owner: RafayKhattak
- Created: 2023-05-19T08:01:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-06-20T05:37:27.000Z (over 1 year ago)
- Last Synced: 2024-11-13T02:32:20.455Z (3 months ago)
- Topics: deep-neural-networks, gpt2, gpt2tokenizer, nltk, pytorch, transformers
- Language: Python
- Homepage: https://rafaykhattak-plagsnipe-app-q5wq2l.streamlit.app/
- Size: 9.77 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# PlagSnipe - AI Powered Plagiarism Detection Tool
PlagSnipe is an advanced AI-powered plagiarism detection tool that leverages the power of GPT-2 language model and the natural language processing capabilities of NLTK to determine whether a given text was authored by AI or not. By analyzing perplexity and burstiness, PlagSnipe provides accurate insights into the authorship of the text, distinguishing between human-written and AI-generated content.
## Features
- Measure perplexity: PlagSnipe calculates the perplexity of the input text using GPT-2 language model. Perplexity is a metric used to measure the quality of a language model's predictions. Higher perplexity values indicate more complex or less likely sequences, which are often associated with AI-generated text.
- Analyze burstiness: PlagSnipe analyzes the burstiness score of the input text using NLTK. Burstiness refers to the extent of repetition or the number of repeated words in the text. AI-generated text often exhibits low burstiness compared to human-written text.
- Determine AI-generated content: Based on the calculated perplexity and burstiness score, PlagSnipe determines whether the input text is likely to be AI-generated or not.
- Visualize most repeated words: PlagSnipe generates a bar chart visualization of the top 10 most repeated words in the input text, providing further insights into the text's content.
## Requirements
- Python 3.6 or above
- Streamlit
- Transformers (Hugging Face)
- Torch
- NLTK
- Plotly
- Collections
## Installation
1. Clone the repository and navigate to the project directory:
```
git clone https://github.com/yourusername/plagsnipe.git
cd plagsnipe
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
3. Run the Streamlit app:
```
streamlit run app.py
```