Spaces:
Running
on
Zero
Running
on
Zero
import logging | |
import tempfile | |
import spaces | |
import gradio as gr | |
from transcriber import AutoTranscriber | |
from utils import to_srt | |
# Configure logging | |
logging.basicConfig( | |
level=logging.INFO, | |
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", | |
force=True, | |
) | |
logger = logging.getLogger(__name__) | |
def transcribe_audio(audio_path): | |
"""Process audio file and return SRT content and preview text""" | |
try: | |
transcriber = AutoTranscriber( | |
corrector="opencc", | |
use_denoiser=False, | |
with_punct=False | |
) | |
transcribe_results = transcriber.transcribe(audio_path) | |
if not transcribe_results: | |
return None, "無字幕生成, 可能係檢測唔到語音。" | |
# Generate SRT text for both preview and download | |
srt_text = to_srt(transcribe_results) | |
# Create temporary file for download | |
with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.srt', encoding='utf-8') as tmp: | |
tmp.write(srt_text) | |
return tmp.name, srt_text | |
except Exception as e: | |
logger.error(f"Error during transcription: {str(e)}") | |
return None, f"Error: {str(e)}" | |
def create_ui(): | |
with gr.Blocks() as demo: | |
gr.Markdown("# 粵文字幕生成器") | |
gr.Markdown( | |
"上傳一個音頻文件,撳「生成字幕」,過一陣就會得到 SRT 文件,撳右下方藍色個「XY.Z KB ⇣」下載個 SRT。") | |
gr.Markdown("目前支援格式:.mp3、.wav、.flac、.m4a、.webm。其他格式可能都可以,但唔保證成功。") | |
gr.Markdown("注意:越長嘅音頻轉寫時間越長,請耐心等待。太長嘅音頻(半個鐘以上)有可能會爆 Error,重試幾次就可以。") | |
with gr.Row(): | |
audio_input = gr.Audio(type="filepath", label="上傳音頻文件或者錄音") | |
with gr.Row(): | |
generate_btn = gr.Button("生成字幕 SRT 文件", variant="primary", scale=2) | |
with gr.Row(): | |
with gr.Column(): | |
preview = gr.Textbox(label="預覽生成字幕", lines=10) | |
with gr.Column(): | |
output = gr.File(label="下載 SRT") | |
generate_btn.click( | |
fn=transcribe_audio, | |
inputs=[audio_input], | |
outputs=[output, preview] | |
) | |
return demo | |
if __name__ == "__main__": | |
demo = create_ui() | |
demo.launch() | |