Email categorization and Fantasy game using instructor and GPT

Step-by-Step Tutorial: Building an Email Classifier and Fantasy Game using Instructor and GPT

Building an Email Classifier:

1. Import necessary libraries such as pantic, open AI, os, and json.
2. Import sample emails from a separate Python file.
3. Use Instructor's patch method to insert your API keys for Open AI.
4. Define two classes: EmailCategory and WorkEmail.
5. Define the schema for the email categories, including sender, recipient, subject, body, and category.
6. Create an EmailClassifier class and initialize it with a client and model name (e.g., GPT 3.5 turbo).
7. Implement a method within the EmailClassifier class to classify emails using GPT and Instructor's schema.
8. Loop over sample emails, classify each email using the classify_email method, and print the classification.
9. Create a dictionary with email details and categories, append it to a list, and convert it to JSON format using json.dumps.

Building a Fantasy Game:

1. Import necessary libraries and classes from pantic for defining weapons, armor, skills, and fantasy characters.
2. Define the schema for a fantasy character, including attributes like name, race, level, health, and skills.
3. Implement a method to generate random fantasy characters using a GPT call and save them to a JSON file.
4. Create a method to load characters from the JSON file.
5. Implement a method for dueling between two fantasy characters, including generating a brief battle description and winner/loser stats using GPT.
6. Update character stats based on the duel results and eliminate characters if necessary.
7. Run battles between characters until only one winner remains.

General Steps:

1. Ensure you have the necessary libraries installed by running pip install instructor.
2. Access the code files for these projects on the creator's website or Patreon page.
3. Modify the code as needed for your specific use case, such as changing the number of generated characters or email categories.
4. Run the scripts for the email classifier and fantasy game to see the results and interactions between GPT and Instructor.

By following these steps, you can build and run an email classifier and a fantasy game using Instructor and GPT, allowing you to explore the capabilities of these tools in Python.