77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""
|
|
Defines a function which takes a path to an audio file and turns it into text.
|
|
"""
|
|
|
|
from datetime import datetime
|
|
import os
|
|
import contextlib
|
|
import tempfile
|
|
import ffmpeg
|
|
import subprocess
|
|
import openai
|
|
from openai import OpenAI
|
|
|
|
client = OpenAI()
|
|
|
|
def convert_mime_type_to_format(mime_type: str) -> str:
|
|
if mime_type == "audio/x-wav" or mime_type == "audio/wav":
|
|
return "wav"
|
|
if mime_type == "audio/webm":
|
|
return "webm"
|
|
|
|
return mime_type
|
|
|
|
@contextlib.contextmanager
|
|
def export_audio_to_wav_ffmpeg(audio: bytearray, mime_type: str) -> str:
|
|
temp_dir = tempfile.gettempdir()
|
|
|
|
# Create a temporary file with the appropriate extension
|
|
input_ext = convert_mime_type_to_format(mime_type)
|
|
input_path = os.path.join(temp_dir, f"input_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.{input_ext}")
|
|
with open(input_path, 'wb') as f:
|
|
f.write(audio)
|
|
|
|
# Check if the input file exists
|
|
assert os.path.exists(input_path), f"Input file does not exist: {input_path}"
|
|
|
|
# Export to wav
|
|
output_path = os.path.join(temp_dir, f"output_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav")
|
|
ffmpeg.input(input_path).output(output_path, acodec='pcm_s16le', ac=1, ar='16k').run()
|
|
|
|
try:
|
|
yield output_path
|
|
finally:
|
|
os.remove(input_path)
|
|
os.remove(output_path)
|
|
|
|
def stt_bytes(audio_bytes: bytearray, mime_type="audio/wav"):
|
|
with export_audio_to_wav_ffmpeg(audio_bytes, mime_type) as wav_file_path:
|
|
return stt_wav(wav_file_path)
|
|
|
|
def stt_wav(wav_file_path: str):
|
|
|
|
if os.getenv('ALL_LOCAL') == 'False':
|
|
audio_file = open(wav_file_path, "rb")
|
|
try:
|
|
transcript = client.audio.transcriptions.create(
|
|
model="whisper-1",
|
|
file=audio_file,
|
|
response_format="text"
|
|
)
|
|
except openai.BadRequestError as e:
|
|
print("openai.BadRequestError:", e)
|
|
return None
|
|
|
|
print("Transcription result:", transcript)
|
|
return transcript
|
|
else:
|
|
# Local whisper here, given `wav_file_path`
|
|
pass
|
|
|
|
def stt(input_data, mime_type="audio/wav"):
|
|
if isinstance(input_data, str):
|
|
return stt_wav(input_data)
|
|
elif isinstance(input_data, bytearray):
|
|
return stt_bytes(input_data, mime_type)
|
|
else:
|
|
raise ValueError("Input data should be either a path to a wav file (str) or audio bytes (bytearray)") |