The AI-selected “best” poster award

This script, gpt4_group_criteria.py, is a Python script that uses OpenAI's GPT-4V model to perform certain tasks. The script requires an OpenAI API key to function.

Grading Criterion

The script uses the following criterion outlined in the Rubric for Scientific Posters provided by Harvard University's Writing Center:

• Organization
• Graphics
• Data Visualization
• Text
• White Space
• Objectives
• Main Points

How to Use

1. Ensure you have a .env file in your project root with your OpenAI API key. The key should be stored as OPENAI_API_KEY=your_api_key_here.

2. Create a virtual environment using conda or venv, and install the required Python packages using pip install -r requirements.txt.

3. If your files are in pdf format. Use the command python convert_pdf2img.py --input_dir "path_to_dir_with_pdf_files" --output_dir "path_to_dir_to_store_png" to convert pdf files to PNG.

4. Use the script by running the command python gpt4_group_criteria.py --image_path "./images/path_to_your_poster_file" --result_base_dir "./output_json_files". Replace ./images/path_to_your_poster_file with the path to the image you want to encode, and ./output_json_files with the directory where you want to store the output JSON files.

5. (Optional) Use the script by running the command python gpt4_group_criteria_batch.py --image_dir "path_to_your_poster_files" --result_base_dir "./output_json_files". Replace path_to_your_poster_files with the path to the poster image folder.

Functions

encode_image(image_path)

This function takes an image path as input and returns the base64 encoding of the image.

load_json(json_path)

This function takes a JSON file path as input and returns the loaded JSON object.

convert_to_serializable(obj)

This function takes a numpy object as input and converts it into a serializable format. It supports np.int64 and np.ndarray objects.