This project generates personalized study plans for students using LangChain and OpenAI's GPT-4 model.

• Installation
• Environment Variables
• Usage
• Tasks
• Contributing
• License

1. Clone the repository:

   git clone https://github.com/fisa712/cogentlabs.git
   cd cogentlabs

2. Create a virtual environment:

   python -m venv env
   source env/bin/activate  # On Windows use `env\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

Create a .env file in the root directory of the project and add your OpenAI API key:

To run the notebook and generate a study plan:

1. Open the Jupyter notebook:

   jupyter notebook UntitledCogent.ipynb

2. Run all cells in the notebook:

   • Follow the instructions in the notebook to input student information.
   • The notebook will generate a personalized study plan based on the provided information.

1. Load Dependencies: Ensure all required libraries are imported.

2. Set Up Environment Variables: Load your API key from the .env file.

3. Initialize Model: Set up the OpenAI model with your API key.

4. Define Prompt Template: Create a prompt template for generating the study plan.

5. Generate Study Plan: Invoke the chain to generate a study plan.

1. using runnables created summary of the book use langchain lcel runnables to get the summary of documents.
2. utilizing reportlab to generate a pdf document Use reportlab to create a PDF of the generated plan.

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License.