Delete simple_question_generator.py

simple_question_generator.py

@@ -1,76 +0,0 @@
-import re
-import random
-
-class SimpleQuestionGenerator:
-    def __init__(self):
-        self.question_words = [
-            'What', 'Why', 'How', 'When', 'Where', 'Who', 'Which', 'Describe', 'Explain'
-        ]
-        self.auxiliary_verbs = ['is', 'are', 'was', 'were', 'do', 'does', 'did', 'have', 'has', 'had']
-    
-    def generate_question(self, sentence):
-        """Generate a simple question from a given sentence."""
-        if not sentence.strip():
-            return ""
-            
-        # Clean the sentence
-        sentence = sentence.strip().strip('.').strip()
-        
-        # Simple question patterns
-        patterns = [
-            (r'^(.*?) is (.*?)[.,;]?$', 'What is {}?'),
-            (r'^(.*?) are (.*?)[.,;]?$', 'What are {}?'),
-            (r'^(.*?) was (.*?)[.,;]?$', 'What was {}?'),
-            (r'^(.*?) were (.*?)[.,;]?$', 'What were {}?'),
-            (r'^(.*?) can be (.*?)[.,;]?$', 'How can {} be {}?'),
-            (r'^(.*?) has (.*?)[.,;]?$', 'What has {}?'),
-            (r'^(.*?) have (.*?)[.,;]?$', 'What have {}?'),
-        ]
-        
-        # Try to match patterns
-        for pattern, template in patterns:
-            match = re.match(pattern, sentence, re.IGNORECASE)
-            if match:
-                return template.format(match.group(1)).capitalize()
-        
-        # Default question if no pattern matches
-        return f"What is the main point about: {sentence[:50]}...?"
-    
-    def generate_questions(self, text, num_questions=5):
-        """Generate questions from the given text."""
-        # Simple sentence splitting
-        sentences = re.split(r'(?<=[.!?])\s+', text)
-        questions = []
-        
-        for sentence in sentences:
-            if len(questions) >= num_questions:
-                break
-                
-            question = self.generate_question(sentence)
-            if question and question not in questions:
-                questions.append(question)
-        
-        return questions
-
-# Example usage
-if __name__ == "__main__":
-    # Create a question generator
-    qg = SimpleQuestionGenerator()
-    
-    # Sample text
-    sample_text = """
-    Machine learning is a branch of artificial intelligence. 
-    It focuses on building systems that learn from data. 
-    These systems can improve their performance over time.
-    There are three main types of machine learning: supervised, unsupervised, and reinforcement learning.
-    Supervised learning uses labeled data to train models.
-    Unsupervised learning finds patterns in unlabeled data.
-    Reinforcement learning involves training an agent to make decisions through rewards.
-    """
-    
-    # Generate and print questions
-    print("Generating questions...\n")
-    questions = qg.generate_questions(sample_text, 5)
-    
-    for i, question in enumerate(questions, 1):
-        print(f"{i}. {question}")