AuthentiText 📝

Overview 🌟

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.

Features ✨

• 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.

Installation 🛠️

Prerequisites 📋

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

Setup 🚀

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

Usage 🎮

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.

Configuration ⚙️

• 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.

File Structure 📂

• 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.

Contributing 🤝

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

License 📜

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

Contact 📧

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

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Made by VIK 🎉