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#!python
# -*- coding: utf-8 -*-
# @author: Kun
from models.falcon_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)
inputs = tokenizer(content,
return_tensors='pt',
return_token_type_ids=False, # ValueError: The following model_kwargs are not used by the model: ['token_type_ids'] (note: typos in the generate arguments will also show up in this list)
)
inputs = inputs.to('cuda:0')
output = model.generate(**inputs,
max_new_tokens=max_token,
top_p=top_p,
temperature=temperature,
repetition_penalty=1.1,
# eos_token_id=tokenizer.eos_token_id,
)
response = tokenizer.decode(output.cpu()[0], skip_special_tokens=True)
torch_gc()
print("===> Generated Text: ")
print(response)
print("<==="+"="*100)
return response
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