麻烦在每一行加上注释

当然，下面是每一行的注释：

import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel

# 导入必要的库

tokenizer = GPT2Tokenizer.from_pretrained('gpt2-large')
model = GPT2LMHeadModel.from_pretrained('gpt2-large', pad_token_id=tokenizer.eos_token_id)

# 加载预训练模型和tokenizer

def generate_response(input_text):

    input_ids = tokenizer.encode(input_text, return_tensors='pt')

    # 将输入文本编码为input_ids

    sample_output = model.generate(
        input_ids,
        do_sample=True,
        max_length=100,
        top_k=50,
        top_p=0.95,
        num_return_sequences=1
    )

    # 使用模型生成响应

    response = tokenizer.decode(sample_output[0], skip_special_tokens=True)

    return response

    # 解码并返回响应