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#!python
# -*- coding: utf-8 -*-
# @author: Kun
from transformers import TextStreamer
from models.baichuan_hf import max_token, temperature, top_p
from common import torch_gc
from global_config import lang_opt
def get_api_response(model, tokenizer, content: str, max_tokens=None):
if "en" == lang_opt:
system_role_content = 'You are a helpful and creative assistant for writing novel.'
elif "zh1" == lang_opt:
system_role_content = 'You are a helpful and creative assistant for writing novel.\
You are must always in Chinese.重要，你需要使用中文与我进行交流。'
elif "zh2" == lang_opt:
system_role_content = '你是写小说的好帮手，有创意的助手。'
else:
raise Exception(f"not supported language: {lang_opt}")
print("===> Question:")
print(content)
print("<==="+"="*100)
streamer = TextStreamer(tokenizer,
skip_prompt=True,
skip_special_tokens=True
)
# inputs = tokenizer(content, return_tensors='pt')
inputs = tokenizer("<human>:{}\n<bot>:".format(content), return_tensors='pt')
# inputs = inputs.to('cuda') # UserWarning: You are calling .generate() with the `input_ids` being on a device type different than your model's device. `input_ids` is on cuda, whereas the model is on cpu. You may experience unexpected behaviors or slower generation. Please make sure that you have put `input_ids` to the correct device by calling for example input_ids = input_ids.to('cpu') before running `.generate()`.
inputs = inputs.to('cpu')
generate_ids = model.generate(**inputs,
max_new_tokens=max_token,
top_p=top_p,
temperature=temperature,
repetition_penalty=1.1,
streamer=streamer,
)
response = tokenizer.decode(
generate_ids.cpu()[0], skip_special_tokens=True)
torch_gc()
print("===> Generated Text: ")
print(response)
print("<==="+"="*100)
return response
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