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147 lines
4.9 KiB
147 lines
4.9 KiB
"""
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Defines a function which takes a path to an audio file and turns it into text.
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"""
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from datetime import datetime
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import os
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import contextlib
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import tempfile
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import shutil
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import ffmpeg
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import subprocess
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import os
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import subprocess
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import platform
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import urllib.request
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class Stt:
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def __init__(self, config):
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self.service_directory = config["service_directory"]
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install(self.service_directory)
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def stt(self, audio_file_path):
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return stt(self.service_directory, audio_file_path)
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def install(service_dir):
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### INSTALL
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WHISPER_RUST_PATH = os.path.join(service_dir, "whisper-rust")
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script_dir = os.path.dirname(os.path.realpath(__file__))
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source_whisper_rust_path = os.path.join(script_dir, "whisper-rust")
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if not os.path.exists(source_whisper_rust_path):
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print(f"Source directory does not exist: {source_whisper_rust_path}")
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exit(1)
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if not os.path.exists(WHISPER_RUST_PATH):
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shutil.copytree(source_whisper_rust_path, WHISPER_RUST_PATH)
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os.chdir(WHISPER_RUST_PATH)
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# Check if whisper-rust executable exists before attempting to build
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if not os.path.isfile(os.path.join(WHISPER_RUST_PATH, "target/release/whisper-rust")):
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# Check if Rust is installed. Needed to build whisper executable
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rustc_path = shutil.which("rustc")
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if rustc_path is None:
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print("Rust is not installed or is not in system PATH. Please install Rust before proceeding.")
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exit(1)
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# Build Whisper Rust executable if not found
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subprocess.run(['cargo', 'build', '--release'], check=True)
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else:
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print("Whisper Rust executable already exists. Skipping build.")
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WHISPER_MODEL_PATH = os.path.join(service_dir, "model")
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WHISPER_MODEL_NAME = os.getenv('WHISPER_MODEL_NAME', 'ggml-tiny.en.bin')
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WHISPER_MODEL_URL = os.getenv('WHISPER_MODEL_URL', 'https://huggingface.co/ggerganov/whisper.cpp/resolve/main/')
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if not os.path.isfile(os.path.join(WHISPER_MODEL_PATH, WHISPER_MODEL_NAME)):
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os.makedirs(WHISPER_MODEL_PATH, exist_ok=True)
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urllib.request.urlretrieve(f"{WHISPER_MODEL_URL}{WHISPER_MODEL_NAME}",
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os.path.join(WHISPER_MODEL_PATH, WHISPER_MODEL_NAME))
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else:
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print("Whisper model already exists. Skipping download.")
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def convert_mime_type_to_format(mime_type: str) -> str:
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if mime_type == "audio/x-wav" or mime_type == "audio/wav":
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return "wav"
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if mime_type == "audio/webm":
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return "webm"
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if mime_type == "audio/raw":
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return "dat"
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return mime_type
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@contextlib.contextmanager
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def export_audio_to_wav_ffmpeg(audio: bytearray, mime_type: str) -> str:
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temp_dir = tempfile.gettempdir()
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# Create a temporary file with the appropriate extension
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input_ext = convert_mime_type_to_format(mime_type)
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input_path = os.path.join(temp_dir, f"input_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.{input_ext}")
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with open(input_path, 'wb') as f:
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f.write(audio)
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# Check if the input file exists
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assert os.path.exists(input_path), f"Input file does not exist: {input_path}"
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# Export to wav
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output_path = os.path.join(temp_dir, f"output_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav")
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print(mime_type, input_path, output_path)
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if mime_type == "audio/raw":
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ffmpeg.input(
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input_path,
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f='s16le',
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ar='16000',
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ac=1,
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).output(output_path, loglevel='panic').run()
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else:
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ffmpeg.input(input_path).output(output_path, acodec='pcm_s16le', ac=1, ar='16k', loglevel='panic').run()
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try:
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yield output_path
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finally:
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os.remove(input_path)
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os.remove(output_path)
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def run_command(command):
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result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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return result.stdout, result.stderr
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def get_transcription_file(service_directory, wav_file_path: str):
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local_path = os.path.join(service_directory, 'model')
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whisper_rust_path = os.path.join(service_directory, 'whisper-rust', 'target', 'release')
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model_name = os.getenv('WHISPER_MODEL_NAME', 'ggml-tiny.en.bin')
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output, _ = run_command([
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os.path.join(whisper_rust_path, 'whisper-rust'),
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'--model-path', os.path.join(local_path, model_name),
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'--file-path', wav_file_path
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])
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return output
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def stt_wav(service_directory, wav_file_path: str):
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temp_dir = tempfile.gettempdir()
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output_path = os.path.join(temp_dir, f"output_stt_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav")
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ffmpeg.input(wav_file_path).output(output_path, acodec='pcm_s16le', ac=1, ar='16k').run()
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try:
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transcript = get_transcription_file(service_directory, output_path)
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finally:
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os.remove(output_path)
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return transcript
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def stt(service_directory, input_data):
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return stt_wav(service_directory, input_data)
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