上面三个代码如何写在一个文件里
时间: 2023-11-28 19:49:46 浏览: 27
可以在同一个文件中定义三个不同的函数,每个函数对应一个代码段。例如:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
def chatbot1():
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
# Let's chat for 5 lines
for step in range(5):
# encode the new user input, add the eos_token and return a tensor in Pytorch
new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
# append the new user input tokens to the chat history
bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
# generated a response while limiting the total chat history to 1000 tokens,
chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
# pretty print last ouput tokens from bot
print("DialoGPT: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
def chatbot2():
from simpletransformers.conv_ai import ConvAIModel
from simpletransformers.conv_ai.conv_ai_utils import input_example
# Create a ConvAIModel
model = ConvAIModel("gpt", "microsoft/DialoGPT-medium")
# Start a conversation
while True:
user_input = input(">> User:")
if user_input.lower() == 'quit':
break
input_dict = input_example(user_input, chat_history="")
response = model.predict([input_dict])[0]
print("DialoGPT: {}".format(response['generated_text']))
def chatbot3():
from transformers import pipeline
# Load the model
generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
# Start a conversation
while True:
user_input = input(">> User:")
if user_input.lower() == 'quit':
break
response = generator(user_input, max_length=50, do_sample=True, temperature=0.7)[0]['generated_text']
print("GPT-Neo: {}".format(response))
```
然后,你可以在程序中调用这些函数来启动并运行不同的聊天机器人。例如:
```python
# Run chatbot1
chatbot1()
# Run chatbot2
chatbot2()
# Run chatbot3
chatbot3()
```
这样,就可以在同一个文件中运行三个不同的聊天机器人了。