Spaces:
Running
on
Zero
Running
on
Zero
import logging | |
import random | |
from typing import Any, Dict, List | |
import numpy as np | |
from lxml import etree | |
from modules.data import styles_mgr | |
from modules.speaker import speaker_mgr | |
logger = logging.getLogger(__name__) | |
def expand_spk(attrs: dict): | |
input_spk = attrs.get("spk", "") | |
if isinstance(input_spk, int): | |
return | |
if isinstance(input_spk, str) and input_spk.isdigit(): | |
attrs.update({"spk": int(input_spk)}) | |
return | |
try: | |
speaker = speaker_mgr.get_speaker(input_spk) | |
attrs.update({"spk": speaker}) | |
except Exception as e: | |
logger.error(f"apply style failed, {e}") | |
def expand_style(attrs: dict): | |
if attrs.get("style", "") != "": | |
try: | |
params = styles_mgr.find_params_by_name(str(attrs["style"])) | |
attrs.update(params) | |
except Exception as e: | |
logger.error(f"apply style failed, {e}") | |
def merge_prompt(attrs: dict, elem): | |
def attr_num(attrs: Dict[str, Any], k: str, min_value: int, max_value: int): | |
val = elem.get(k, attrs.get(k, "")) | |
if val == "": | |
return | |
if val == "max": | |
val = max_value | |
if val == "min": | |
val = min_value | |
val = np.clip(int(val), min_value, max_value) | |
if "prefix" not in attrs or attrs["prefix"] == None: | |
attrs["prefix"] = "" | |
attrs["prefix"] += " " + f"[{k}_{val}]" | |
attr_num(attrs, "oral", 0, 9) | |
attr_num(attrs, "speed", 0, 9) | |
attr_num(attrs, "laugh", 0, 2) | |
attr_num(attrs, "break", 0, 7) | |
def apply_random_seed(attrs: dict): | |
seed = attrs.get("seed", "") | |
if seed == "random" or seed == "rand": | |
seed = random.randint(0, 2**32 - 1) | |
attrs["seed"] = seed | |
logger.info(f"random seed: {seed}") | |