抱歉，我不太清楚你指的是什么”chatgpt脚本”。ChatGPT是一个基于OpenAI的GPT模型的聊天机器人，它可以用于自然语言处理和生成文本。如果你需要有关ChatGPT的脚本或相关资料，请提供更多具体的信息，我将尽力帮助你。
chatbot_gpt.py
import torch
import argparse
import logging
import os
import numpy as np
from transformers import GPT2LMHeadModel, GPT2Tokenizer
logging.disable(logging.WARNING)
def set_seed(seed):
np.random.seed(seed)
torch.manual_seed(seed)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(seed)
def load_model(model_path, device):
model = GPT2LMHeadModel.from_pretrained(model_path)
model.to(device)
model.eval()
return model
def load_tokenizer(tokenizer_path):
tokenizer = GPT2Tokenizer.from_pretrained(tokenizer_path)
return tokenizer
def generate_response(input_text, model, tokenizer, device, max_length=200):
input_ids = tokenizer.encode(input_text, return_tensors='pt').to(device)
output = model.generate(input_ids, max_length=max_length, pad_token_id=tokenizer.eos_token_id)
response = tokenizer.decode(output[0], skip_special_tokens=True)
return response
def main():
parser = argparse.ArgumentParser(description='Chatbot using GPT-2')
parser.add_argument('--model_path', type=str, default='gpt2-medium',
help='Path to the pre-trained GPT-2 model')
parser.add_argument('--tokenizer_path', type=str, default='gpt2-medium',
help='Path to the GPT-2 tokenizer')
parser.add_argument('--seed', type=int, default=42, help='Random seed')
parser.add_argument('--device', type=str, default='cuda' if torch.cuda.is_available() else 'cpu',
help='Device (cuda or cpu)')
args = parser.parse_args()
set_seed(args.seed)
model = load_model(args.model_path, args.device)
tokenizer = load_tokenizer(args.tokenizer_path)
print('Chatbot initialized. Type "exit" to quit.')
while True:
user_input = input('User: ')
if user_input.lower() == 'exit':
break
response = generate_response(user_input, model, tokenizer, args.device)
print('Chatbot:', response)
if name == ‘__main__’:
main()chatgpt脚本 发布者：luotuoemo，转转请注明出处：https://www.chatairc.com/14033/
