This application leverages OpenAI's GPT models to guide users through a critical analysis of assets, like a scholarly journal articles. It prompts users with questions about an article, provides feedback on their responses, and scores their understanding based on a predefined rubric.

• Interactive Q&A: Engages users with a series of questions created by the educator.
• AI-Powered Feedback: Utilizes OpenAI's GPT-4 to generate immediate, constructive feedback on user responses.
• Rubric-Based Scoring: Evaluates user responses against a custom rubric to ensure a thorough analysis of the article.
• Progress Tracking: Dynamically tracks user progress through the questions and feedback loops.
• Visual and Animated Feedback: Incorporates Lottie animations and images to enhance user engagement and provide visual cues for feedback.

1. Clone the Repository: Start by cloning this repository to your local machine.

2. Install Dependencies: Install the required Python packages using pip:

   pip install -r requirements.txt

3. Configure OpenAI API Key:

   • Create a .env file in the root directory of your project.
   • Add your OpenAI API key to the .env file:

     OPENAI_API_KEY='your_api_key_here'
     

4. Run the Application: Navigate to the directory containing the application and run it using Streamlit:

   streamlit run main.py

• Start the Application: After launching, the app will guide you to input your responses to a series of questions based on a specified article.
• View PDF: A link to the target article PDF is provided within the app for reference.
• Answer Questions: Type your answers directly into the input fields. The app will provide feedback and a score based on your responses.
• Progress Through the Review: Your progress is saved as you move through the questions. You can skip questions.

• Contribute: Contributions to improve the application or extend its capabilities are welcome! Please submit pull requests or open issues for bugs and feature requests.
• Support: If you encounter any problems or have suggestions, please open an issue in the repository.

This project is licensed under the MIT License - see the LICENSE.md file for details.