Spaces:
Sleeping
Sleeping
File size: 1,388 Bytes
01e655b ebc4336 01e655b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
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
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
async def refiner_prompt_post(request: RefineTextRequest):
"""
This endpoint receives a prompt and returns the refined result
"""
try:
refined_text = refiner.refine_text(
text=request.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
)
|