Create short_answer_generator.py

short_answer_generator.py

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+import torch
+import random
+from transformers import pipeline, AutoModelForQuestionAnswering, AutoTokenizer
+
+class QuestionGenerator:
+    def __init__(self, model_name='deepset/roberta-base-squad2'):
+        """
+        Initialize question generation system
+        """
+        self.device = 'cuda' if torch.cuda.is_available() else 'cpu' # Detect and set device
+        self.model = AutoModelForQuestionAnswering.from_pretrained(model_name)        # Load model and tokenizer
+        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        
+        # Create QA pipeline
+        self.qa_pipeline = pipeline('question-answering', model=self.model, tokenizer=self.tokenizer,device=0 if self.device == 'cuda' else -1)
+        
+        # Question templates
+        self.question_templates = ["What is the main idea of","Who is responsible for","When did this occur","Where does this take place","Why is this important","How does this work","What are the key features of","Explain the significance of","What is the purpose of","Describe the process of"]
+
+    def generate_questions(self, context, num_questions=3, difficulty='medium'):
+        """
+        Generate multiple questions from context
+        """
+        generated_questions = []
+        attempts = 0
+        max_attempts = num_questions * 10
+
+        while len(generated_questions) < num_questions and attempts < max_attempts:
+            try:
+                template = random.choice(self.question_templates)    # Select random template
+                words = context.split()      # Create question
+                start_index = random.randint(0, max(0, len(words) - 5))
+                full_question = f"{template} {' '.join(words[start_index:start_index+5])}?"
+                result = self.qa_pipeline(question=full_question, context=context)   # Get answer
+                
+                # Validate result
+                if (result['answer'] and len(result['answer']) > 3 and result['score'] > 0.5 and not any(q['answer'] == result['answer'] for q in generated_questions)):
+                    generated_questions.append({'question': full_question,'answer': result['answer'],'confidence': result['score']})
+                attempts += 1
+            
+            except Exception as e:
+                print(f"Question generation error: {e}")
+                attempts += 1
+        return generated_questions
+
+    def display_questions(self, questions):
+        """
+        Display generated questions
+        """
+        print("\n--- Generated Questions ---")
+        for idx, q in enumerate(questions, 1):
+            print(f"Q{idx}: {q['question']}")
+            print(f"Expected keyword: {q['answer']} \n")
+
+def get_user_input():
+    """
+    Get user input for question generation
+    """
+    print("\n--- Interactive Question Generator ---")
+    print("\n>> Enter the context for question generation: ")  # Context input
+    context = input().strip()
+    
+    # Number of questions
+    while True:
+        try:
+            num_questions = int(input("\n>> How many questions do you want? (1-10): "))
+            if 1 <= num_questions <= 10:
+                break
+            else:
+                print("Please enter a number between 1 and 10.")
+        except ValueError:
+            print("Invalid input. Please enter a number.")
+    return context, num_questions
+
+def main():
+    # Initialize generator
+    generator = QuestionGenerator()
+    
+    while True:
+        try:
+            context, num_questions = get_user_input()          # Get user input
+            questions = generator.generate_questions(context, num_questions=num_questions)    # Generate questions
+            if questions:                          # Display questions
+                generator.display_questions(questions)
+            else:
+                print("Could not generate questions. Please try a different context.")
+            
+            # Continue option
+            continue_choice = input("Generate more questions? (yes/no): ").lower()
+            if continue_choice not in ['yes', 'y']:
+                break
+        except Exception as e:
+            print(f"An error occurred: {e}")
+    print("Thank you for using the Question Generator!")
+
+if __name__ == "__main__":
+    main()