AuthentiText is a Streamlit-based web application designed to analyze and humanize text, transforming robotic or AI-generated content into natural, engaging, and authentic writing. It uses the OpenAI API to evaluate text authenticity with a "Human Score" and provides suggestions for improvement, while also offering a humanization feature to rewrite text in various styles.

• Text Analysis : Assesses text for human-like qualities with a strict scoring system (0-100% Human Score).
• Text Humanization : Rewrites text to sound natural and relatable in predefined or custom styles.
• Dual Theme Support : Offers light and dark themes with customizable CSS for a modern UI.
• Custom Styles : Allows users to define and save custom writing styles with examples.
• Actionable Feedback : Provides detailed feedback and improvement suggestions based on analysis.

• Python 3.8+
• An OpenAI API key (stored in a .env file or Streamlit secrets)

1. Clone the repository:
   git clone <repository-url>
   cd authentiText
2. Install dependencies:
   pip install -r requirements.txt
3. Create a .env file in the project root and add your OpenAI API key:
   AIMLAPI_KEY=your_api_key_here

4. Run the application:
   streamlit run app.py

1. Input Text : Paste your text into the text area on the main interface.
2. Analyze Text : Click "Analyze Text" to get a Human Score and feedback.
3. Humanize Text : Select a style (e.g., Conversational, Formal) and click "Humanize Text" to rewrite the text.
4. Custom Styles : Use the expander to define and save a new style with a name and example.
5. Re-Analyze : Review the humanized text and analyze it again for a new Human Score.

• API Key : Required and loaded from .env or Streamlit secrets.
• Model : Uses gpt-3.5-turbo for analysis and humanization.
• Themes : Switch between "Bright" and "Dark" via the sidebar settings.

• app.py: Main application script containing UI and backend logic.
• .env: Environment file for API key (not included in version control).
• requirements.txt: List of Python dependencies.

Feel free to fork the repository, submit issues, or create pull requests for enhancements or bug fixes.

[MIT License] - See the LICENSE file for details.

For questions or support, reach out via the project repository or email.

Made by VIK