43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
import os
|
|
import re
|
|
import tempfile
|
|
|
|
from app.core.rag.nlp import rag_tokenizer, tokenize
|
|
|
|
|
|
def chunk(filename, binary, lang, callback=None, seq2txt_mdl=None, **kwargs):
|
|
doc = {"docnm_kwd": filename, "title_tks": rag_tokenizer.tokenize(re.sub(r"\.[a-zA-Z]+$", "", filename))}
|
|
doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])
|
|
|
|
# is it English
|
|
eng = lang.lower() == "english" # is_english(sections)
|
|
try:
|
|
_, ext = os.path.splitext(filename)
|
|
if not ext:
|
|
raise RuntimeError("No extension detected.")
|
|
|
|
if ext not in [".da", ".wave", ".wav", ".mp3", ".aac", ".flac", ".ogg", ".aiff", ".au", ".midi", ".wma", ".realaudio", ".vqf", ".oggvorbis", ".ape"]:
|
|
raise RuntimeError(f"Extension {ext} is not supported yet.")
|
|
|
|
tmp_path = ""
|
|
with tempfile.NamedTemporaryFile(suffix=ext, delete=False) as tmpf:
|
|
tmpf.write(binary)
|
|
tmpf.flush()
|
|
tmp_path = os.path.abspath(tmpf.name)
|
|
|
|
callback(0.1, "USE Sequence2Txt LLM to transcription the audio")
|
|
ans = seq2txt_mdl.transcription(tmp_path)
|
|
callback(0.8, "Sequence2Txt LLM respond: %s ..." % ans[:32])
|
|
|
|
tokenize(doc, ans, eng)
|
|
return [doc]
|
|
except Exception as e:
|
|
callback(prog=-1, msg=str(e))
|
|
finally:
|
|
if tmp_path and os.path.exists(tmp_path):
|
|
try:
|
|
os.unlink(tmp_path)
|
|
except Exception:
|
|
pass
|
|
return []
|