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from fastapi import HTTPException
from pydantic import BaseModel
from modules import refiner
from modules.api import utils as api_utils
from modules.api.Api import APIManager
from modules.normalization import text_normalize
class RefineTextRequest(BaseModel):
text: str
prompt: str = "[oral_2][laugh_0][break_6]"
seed: int = -1
top_P: float = 0.7
top_K: int = 20
temperature: float = 0.7
repetition_penalty: float = 1.0
max_new_token: int = 384
normalize: bool = True
async def refiner_prompt_post(request: RefineTextRequest):
"""
This endpoint receives a prompt and returns the refined result
"""
try:
text = request.text
if request.normalize:
text = text_normalize(request.text)
# TODO 其实这里可以做 spliter 和 batch 处理
refined_text = refiner.refine_text(
text=text,
prompt=request.prompt,
seed=request.seed,
top_P=request.top_P,
top_K=request.top_K,
temperature=request.temperature,
repetition_penalty=request.repetition_penalty,
max_new_token=request.max_new_token,
)
return {"message": "ok", "data": refined_text}
except Exception as e:
import logging
logging.exception(e)
if isinstance(e, HTTPException):
raise e
else:
raise HTTPException(status_code=500, detail=str(e))
def setup(api_manager: APIManager):
api_manager.post("/v1/prompt/refine", response_model=api_utils.BaseResponse)(
refiner_prompt_post
)
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