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from modules.whisper.whisper_factory import WhisperFactory
from modules.whisper.whisper_parameter import WhisperValues
from modules.utils.paths import WEBUI_DIR
from test_config import *
import requests
import pytest
import gradio as gr
import os
@pytest.mark.parametrize("whisper_type", ["whisper", "faster-whisper", "insanely_fast_whisper"])
def test_transcribe(whisper_type: str):
audio_path_dir = os.path.join(WEBUI_DIR, "tests")
audio_path = os.path.join(audio_path_dir, "jfk.wav")
if not os.path.exists(audio_path):
download_file(TEST_FILE_DOWNLOAD_URL, audio_path_dir)
whisper_inferencer = WhisperFactory.create_whisper_inference(
whisper_type=whisper_type,
)
print("Device : ", whisper_inferencer.device)
hparams = WhisperValues(
model_size=TEST_WHISPER_MODEL,
).as_list()
subtitle_str, file_path = whisper_inferencer.transcribe_file(
[audio_path],
None,
"SRT",
False,
gr.Progress(),
*hparams,
)
assert isinstance(subtitle_str, str) and subtitle_str
assert isinstance(file_path[0], str) and file_path
whisper_inferencer.transcribe_youtube(
TEST_YOUTUBE_URL,
"SRT",
False,
gr.Progress(),
*hparams,
)
assert isinstance(subtitle_str, str) and subtitle_str
assert isinstance(file_path[0], str) and file_path
whisper_inferencer.transcribe_mic(
audio_path,
"SRT",
False,
gr.Progress(),
*hparams,
)
assert isinstance(subtitle_str, str) and subtitle_str
assert isinstance(file_path[0], str) and file_path
def download_file(url, save_dir):
if not os.path.exists(save_dir):
os.makedirs(save_dir)
file_name = url.split("/")[-1]
file_path = os.path.join(save_dir, file_name)
response = requests.get(url)
with open(file_path, "wb") as file:
file.write(response.content)
print(f"File downloaded to: {file_path}")
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