Thought of making a database of all the words in english to make a typing suggestions app.

Below is the model that chatgpt suggested.

Python Code

# # my input class Words(models.Model): word = models.CharField(max_length=255, unique=True) definition = models.TextField(blank=True, null=True) part_of_speech = models.CharField(max_length=50, blank=True, null=True) language = models.CharField(max_length=50, blank=True, null=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def __str__(self): return self.word # given by chatgpt from django.db import models from django.contrib.auth.models import User from django.utils.html import strip_tags class Words(models.Model): word = models.CharField(max_length=255, unique=True) definition = models.TextField(blank=True, null=True) part_of_speech = models.CharField(max_length=50, blank=True, null=True) language = models.CharField(max_length=50, blank=True, null=True) pronunciation = models.CharField(max_length=255, blank=True, null=True) example_sentence = models.TextField(blank=True, null=True) etymology = models.TextField(blank=True, null=True) audio_url = models.URLField(blank=True, null=True) usage_level = models.CharField( max_length=50, choices=[ ('common', 'Common'), ('uncommon', 'Uncommon'), ('rare', 'Rare'), ], blank=True, null=True ) inflections = models.TextField(blank=True, null=True) domain = models.CharField(max_length=100, blank=True, null=True) tags = models.JSONField(blank=True, null=True) synonyms = models.ManyToManyField("self", blank=True, related_name="synonym_of", symmetrical=False) antonyms = models.ManyToManyField("self", blank=True, related_name="antonym_of", symmetrical=False) related_words = models.ManyToManyField("self", blank=True, related_name="related_to", symmetrical=False) is_approved = models.BooleanField(default=True) added_by = models.ForeignKey(User, on_delete=models.SET_NULL, null=True, blank=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def __str__(self): return self.word def clean_definition(self): return strip_tags(self.definition or "") def display_info(self): return f"{self.word} ({self.part_of_speech}): {self.definition}" def get_all_related(self): return list(self.synonyms.all()) + list(self.antonyms.all()) + list(self.related_words.all()) def searchable_text(self): return f"{self.word} {self.definition or ''} {self.part_of_speech or ''} {self.example_sentence or ''}"