aiATL

Essay Insight Generator

Overview

This application leverages Vertex AI and the Text Generation Model to provide teachers with valuable insights into their students' essays. By segmenting each essay into discrete rhetorical and argumentative elements, the system classifies these elements and offers feedback on areas that require improvement.

Getting Started

Follow the steps below to set up and run the application:

Install the required dependencies:

pip install vertexai

Clone the repository:

git clone https://github.com/your-username/essay-insight-generator.git
cd essay-insight-generator

Initialize Vertex AI with your project and location:

import vertexai
vertexai.init(project="your-project-id", location="your-location")

Customize the parameters based on your preferences:

parameters = {
    "candidate_count": 1,
    "max_output_tokens": 1024,
    "temperature": 0.2,
    "top_p": 0.8,
    "top_k": 40
}

Load the Text Generation Model:

from vertexai.language_models import TextGenerationModel
model = TextGenerationModel.from_pretrained("text-bison")

Make predictions on essays and obtain valuable insights:

response = model.predict("""
You are a grader for grade 6-12 students who are writing essays.
You will first need to segment each essay into discrete rhetorical
and argumentative elements (i.e., discourse elements) and then
classify each element as one of the following and most importantly,
give feedback on what the essay is missing or does poorly.
""")

Analyze the response to provide feedback to teachers and students.

Contributing

We welcome contributions! If you have ideas for improvements or new features, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.