Science GPT is an advanced AI-powered tool designed to generate text based on the content of uploaded scientific PDF files. Leveraging the power of OpenAI's GPT-4 model, this application can read, understand, and summarize scientific papers, making it a valuable tool for researchers, students, and anyone interested in science. Whether you're conducting a literature review, studying for an exam, or just curious about the latest research, Science GPT can help you quickly and easily understand complex scientific texts.
Built with Python and Streamlit, this application uses the GPT-4 model to generate text based on the content of uploaded PDF files. It's designed to be user-friendly and easy to use, with a simple interface that allows you to upload PDF files and generate text with just a few clicks.
- Clone the repository:
git clone https://github.com/yourusername/science-gpt.git- Navigate to the project directory:
cd science-gpt- Install the required Python packages:
pip install -r requirements.txt- Start the Streamlit server:
streamlit run main.py-
Open your web browser and navigate to
localhost:8501. -
Use the file uploader to upload one or more PDF files. The application will process each file, generate text based on its content using the GPT-4 model, and display the generated text.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.