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# type: ignore
import logging
import os
import tempfile
from typing import AsyncGenerator
from litellm import atranscription
from core.base.parsers.base_parser import AsyncParser
from core.base.providers import (
CompletionProvider,
DatabaseProvider,
IngestionConfig,
)
logger = logging.getLogger()
class AudioParser(AsyncParser[bytes]):
"""A parser for audio data using Whisper transcription."""
def __init__(
self,
config: IngestionConfig,
database_provider: DatabaseProvider,
llm_provider: CompletionProvider,
):
self.database_provider = database_provider
self.llm_provider = llm_provider
self.config = config
self.atranscription = atranscription
async def ingest( # type: ignore
self, data: bytes, **kwargs
) -> AsyncGenerator[str, None]:
"""Ingest audio data and yield a transcription using Whisper via
LiteLLM.
Args:
data: Raw audio bytes
*args, **kwargs: Additional arguments passed to the transcription call
Yields:
Chunks of transcribed text
"""
try:
# Create a temporary file to store the audio data
with tempfile.NamedTemporaryFile(
suffix=".wav", delete=False
) as temp_file:
temp_file.write(data)
temp_file_path = temp_file.name
# Call Whisper transcription
response = await self.atranscription(
model=self.config.audio_transcription_model
or self.config.app.audio_lm,
file=open(temp_file_path, "rb"),
**kwargs,
)
# The response should contain the transcribed text directly
yield response.text
except Exception as e:
logger.error(f"Error processing audio with Whisper: {str(e)}")
raise
finally:
# Clean up the temporary file
try:
os.unlink(temp_file_path)
except Exception as e:
logger.warning(f"Failed to delete temporary file: {str(e)}")
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