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Final_Answer VView

+!pip install transformers
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import random
+
+# Load the GPT-2 model and tokenizer
+model_name = "EleutherAI/gpt-neo-2.7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Set the pad token id and attention mask
+tokenizer.pad_token = tokenizer.eos_token
+model.config.pad_token_id = model.config.eos_token_id
+model.config.use_cache = False
+
+# Take user input
+text = input("Please enter a piece of text: ")
+
+# Generate a summary of the text using the GPT-2 model
+inputs = tokenizer.encode(text, return_tensors='pt')
+summary_ids = model.generate(inputs, max_length=100, num_beams=4, early_stopping=True)
+summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+
+# Generate structured questions and multiple-choice options based on the summary
+questions = []
+for sentence in summary.split("."):
+    if sentence.strip() != "":
+        # Fill-in-the-blank approach
+        sentence_tokens = tokenizer.tokenize(sentence)
+        blank_index = random.choice(range(1, len(sentence_tokens)))
+        sentence_tokens[blank_index] = "[MASK]"
+        sentence = tokenizer.convert_tokens_to_string(sentence_tokens)
+
+        # Generate question and multiple-choice options
+        question = sentence.replace("[MASK]", "______")
+        options = [tokenizer.convert_tokens_to_string(model.generate(inputs, max_length=50, num_beams=4, early_stopping=True)[0]).strip() for _ in range(3)]
+        options.append(tokenizer.convert_tokens_to_string(sentence_tokens[blank_index-1:blank_index+2]).replace("[MASK]", "______").strip())
+        random.shuffle(options)
+
+        # Add question and options to list
+        questions.append((question, options))
+
+# Print questions and options
+print("\nGenerated Questions:")
+for i, (question, options) in enumerate(questions):
+    print(f"\n{i+1}. {question}")
+    for j, option in enumerate(options):
+        print(f"   {'ABCD'[j]}. {option}")