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Hokila/faster-whisper-to-txt-or-srt.ipynb

Created July 8, 2025 07:59
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faster-whisper-to-txt-or-srt.ipynb
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"🔍 共找到 33 個音訊檔，開始處理...\n",
"\n",
"[1/33] 🎬 開始處理：16\n",
"[2/33] 🎬 開始處理：21\n",
"[3/33] 🎬 開始處理：10\n",
"[4/33] 🎬 開始處理：00\n"
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},
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"text": [
"[12/42] 🎬 開始處理：10\n"
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"[2/33] ✅ 完成：21\n",
"[5/33] 🎬 開始處理：01\n"
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{
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"name": "stdout",
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"[3/33] ✅ 完成：10\n",
"[6/33] 🎬 開始處理：04\n"
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"[13/42] 🎬 開始處理：00\n"
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"text": [
"[14/42] 🎬 開始處理：01\n"
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"[5/33] ✅ 完成：01\n",
"[7/33] 🎬 開始處理：03\n"
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"[1/33] ✅ 完成：16\n",
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"[7/33] ✅ 完成：03\n",
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"[13/33] 🎬 開始處理：17[6/33] ✅ 完成：04\n",
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"[14/33] 🎬 開始處理：14\n"
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"[14/33] ✅ 完成：14\n",
"[15/33] 🎬 開始處理：13\n"
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"[21/42] 🎬 開始處理：18\n"
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"[13/33] ✅ 完成：17\n",
"[16/33] 🎬 開始處理：12\n"
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"[15/33] ✅ 完成：13\n",
"[21/33] 🎬 開始處理：05\n"
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"[28/42] 🎬 開始處理：07\n"
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"[18/33] ✅ 完成：08\n",
"[22/33] 🎬 開始處理：35\n"
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"[20/33] ✅ 完成：06\n",
"[23/33] 🎬 開始處理：34\n"
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"[19/33] ✅ 完成：07\n",
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"[23/33] ✅ 完成：34\n",
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"[29/33] 🎬 開始處理：41\n"
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"[32/33] 🎬 開始處理：38\n"
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"text": [
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"[33/33] 🎬 開始處理：36\n"
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"[31/33] ✅ 完成：39\n"
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"[32/33] ✅ 完成：38\n",
"\n",
"✅ 所有字幕已儲存至： /content/drive/MyDrive/Subtitles\n"
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"<a href=\"https://colab.research.google.com/gist/Hokila/c817fe1a30017983193f915380e73844/faster-whisper-to-txt-or-srt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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"output_type": "display_data",
"data": {
"text/plain": [
"VBox(children=(FileChooser(path='/content/drive/MyDrive', filename='', title='<b>選擇音訊資料夾</b>', show_hidden=Fal…"
],
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"text": [
"[11/42] 🎬 開始處理：21\n"
]
}
],
"source": [
"# 安裝必要套件\n",
"!pip install -q ipyfilechooser\n",
"!pip install -q faster-whisper\n",
"!apt-get -y install ffmpeg\n",
"\n",
"# 匯入套件\n",
"from google.colab import drive\n",
"from ipyfilechooser import FileChooser\n",
"from ipywidgets import widgets, VBox, HBox\n",
"from IPython.display import display, clear_output\n",
"from faster_whisper import WhisperModel\n",
"import shutil\n",
"import traceback\n",
"import re\n",
"import os\n",
"from concurrent.futures import ThreadPoolExecutor, as_completed\n",
"\n",
"# 掛載 Google Drive\n",
"drive.mount('/content/drive')\n",
"\n",
"# 初始化模型\n",
"model_size = \"large-v2\"\n",
"model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n",
"\n",
"# UI 元件\n",
"language_dropdown = widgets.Dropdown(\n",
" options=[('中文', 'zh'), ('English', 'en'), ('日本語', 'ja')],\n",
" value='zh',\n",
" description='語言:',\n",
")\n",
"\n",
"mode_dropdown = widgets.Dropdown(\n",
" options=[('srt 字幕檔', 'srt'), ('line by line', 'line')],\n",
" value='srt',\n",
" description='功能:',\n",
")\n",
"\n",
"fc = FileChooser('/content/drive/MyDrive')\n",
"fc.title = '<b>選擇音訊資料夾</b>'\n",
"fc.show_only_dirs = True\n",
"fc.use_dir_icons = True\n",
"\n",
"start_button = widgets.Button(\n",
" description='批次產生字幕',\n",
" button_style='success',\n",
" icon='check'\n",
")\n",
"\n",
"output = widgets.Output()\n",
"\n",
"base_output_dir = \"/content/drive/MyDrive/Subtitles\"\n",
"os.makedirs(base_output_dir, exist_ok=True)\n",
"\n",
"# 處理單一音訊檔\n",
"def transcribe_to_srt(index, total, audio_path, language, output_dir, mode):\n",
" try:\n",
" raw_file_name = os.path.splitext(os.path.basename(audio_path))[0]\n",
" cleaned_name = re.sub(r'\\s*\\[.*?\\]$', '', raw_file_name).strip()\n",
" srt_path = os.path.join(output_dir, f\"{cleaned_name}.srt\")\n",
" txt_path = os.path.join(output_dir, f\"{cleaned_name}.txt\")\n",
"\n",
" if os.path.exists(srt_path) or os.path.exists(txt_path):\n",
" return f\"[{index}/{total}] ⚠️ 略過：{cleaned_name} 字幕已存在\"\n",
"\n",
" print(f\"[{index}/{total}] 🎬 開始處理：{cleaned_name}\")\n",
"\n",
" prompt_map = {\n",
" \"zh\": \"請以繁體中文清楚說話。\",\n",
" \"en\": \"Speak clearly in English.\",\n",
" \"ja\": \"はっきりと日本語で話してください。\"\n",
" }\n",
" prompt = prompt_map.get(language, None)\n",
"\n",
" segments, _ = model.transcribe(audio_path, beam_size=5, initial_prompt=prompt, language=language)\n",
"\n",
" # 建立字幕內容\n",
" if mode == \"srt\":\n",
" text = \"\"\n",
" for i, segment in enumerate(segments, 1):\n",
" start_h, start_rem = divmod(segment.start, 3600)\n",
" start_m, start_s = divmod(start_rem, 60)\n",
" start_ms = round((segment.start - int(segment.start)) * 1000)\n",
" end_h, end_rem = divmod(segment.end, 3600)\n",
" end_m, end_s = divmod(end_rem, 60)\n",
" end_ms = round((segment.end - int(segment.end)) * 1000)\n",
"\n",
" text += \"%d\\n%02d:%02d:%02d,%03d --> %02d:%02d:%02d,%03d\\n%s\\n\\n\" % (\n",
" i,\n",
" int(start_h), int(start_m), int(start_s), int(start_ms),\n",
" int(end_h), int(end_m), int(end_s), int(end_ms),\n",
" segment.text\n",
" )\n",
" with open(srt_path, \"w\") as f:\n",
" f.write(text)\n",
" else: # line by line\n",
" text = \"\\n\".join([seg.text.strip() for seg in segments])\n",
" with open(txt_path, \"w\") as f:\n",
" f.write(text)\n",
"\n",
" # 刪除 mp3 原始檔\n",
" if audio_path.lower().endswith(\".mp3\"):\n",
" try:\n",
" os.remove(audio_path)\n",
" except Exception as e:\n",
" pass # 忽略刪除失敗\n",
"\n",
" return f\"[{index}/{total}] ✅ 完成：{cleaned_name}\"\n",
"\n",
" except Exception as e:\n",
" error_msg = traceback.format_exc()\n",
" return f\"[{index}/{total}] ❌ 錯誤處理 {os.path.basename(audio_path)}：\\n{error_msg}\"\n",
"\n",
"# 按鈕點擊處理\n",
"def on_button_click(b):\n",
" folder_path = fc.selected_path.strip() if fc.selected_path else ''\n",
" selected_lang = language_dropdown.value\n",
" selected_mode = mode_dropdown.value\n",
" output_dir = base_output_dir\n",
"\n",
" with output:\n",
" clear_output(wait=True)\n",
" if not os.path.isdir(folder_path):\n",
" print(\"❌ 資料夾不存在，請確認路徑！\")\n",
" return\n",
"\n",
" audio_exts = ['.mp3', '.wav', '.m4a', '.flac']\n",
" audio_files = [\n",
" os.path.join(folder_path, f)\n",
" for f in os.listdir(folder_path)\n",
" if os.path.splitext(f)[1].lower() in audio_exts\n",
" ]\n",
"\n",
" total = len(audio_files)\n",
" if total == 0:\n",
" print(\"⚠️ 找不到任何支援的音訊檔（.mp3, .wav, .m4a, .flac）\")\n",
" return\n",
"\n",
" print(f\"🔍 共找到 {total} 個音訊檔，開始處理...\\n\")\n",
"\n",
" results = [None] * total\n",
" with ThreadPoolExecutor(max_workers=4) as executor:\n",
" future_to_index = {\n",
" executor.submit(transcribe_to_srt, idx+1, total, audio_files[idx], selected_lang, output_dir, selected_mode): idx\n",
" for idx in range(total)\n",
" }\n",
"\n",
" for future in as_completed(future_to_index):\n",
" idx = future_to_index[future]\n",
" try:\n",
" results[idx] = future.result()\n",
" except Exception as e:\n",
" results[idx] = f\"[{idx+1}/{total}] ❌ 執行時例外：{str(e)}\"\n",
" print(results[idx]) # 用 print 顯示進度\n",
"\n",
" print(\"\\n✅ 所有字幕已儲存至：\", output_dir)\n",
"\n",
"# UI 顯示與事件綁定\n",
"start_button.on_click(on_button_click)\n",
"\n",
"clear_output(wait=True)\n",
"ui = VBox([\n",
" fc,\n",
" HBox([language_dropdown, mode_dropdown, start_button]),\n",
" output\n",
"])\n",
"display(ui)\n"
]
}
]
}
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