import re # Python's built-in library for regular expressions (or Regex) import sqlite3 from flask import g from transformers import pipeline, set_seed def generate(Entered_story): # Check if the input is empty if not Entered_story.strip(): raise ValueError("Empty input!") # Validate that the input is in the correct format if not validate_story(Entered_story): raise ValueError("Incorrect format!") # Set the pipeline to use the correct NLP type and model generator = pipeline('text-generation', model='gpt2') # Take note: The max_length & min_length variables refer to the OUTPUT length! set_seed(42) generated_text = generator(Entered_story, max_length=30, num_return_sequences=5) generated_text = generated_text[0]['generated_text'] return generated_text # User Input Format Validation Function def validate_story(Entered_story): pattern = r'As a (?P[^,.]+), I want to (?P[^,.]+)(?:,|.)+\s*so that' #Follows then normal structure, but allows anything after 'so that' match = re.search(pattern, Entered_story, flags=re.DOTALL) return bool(match) # Function to grab all contents in the "TextGeneration" table (except for unique ids) # If adding any additional attributes to the table, this has to be updated accordingly def getTextGenContents(): db = getattr(g, '_database', None) # Gets the _database attribute from the 'g' object. If it does not exist, returns 'None' if db is None: db = g._database = sqlite3.connect('Refineverse.db') # If db is None, create a new connection for db and g._database. cursor = db.cursor() # Creates a cursor object to handle data cursor.execute("SELECT userStory, generatedStory FROM TextGeneration") # The cursor executes the query rows = cursor.fetchall() # Stores the results of fetchall() into a variable return rows # Function to insert a new row into the "TextGeneration" table # Using "with" for the connection here seems important, as otherwise it results in an exception def insertTextGenRow( Entered_story, generatedStory): with sqlite3.connect('Refineverse.db') as conn: # 'With' will automatically take care of closing and opening the connection cursor = conn.cursor() cursor.execute("INSERT INTO TextGeneration (userStory, generatedStory) VALUES (?, ?)", (Entered_story, generatedStory)) conn.commit()