app.py

import os 
os.environ['KMP_DUPLICATE_LIB_OK']='True'
import tempfile
import mimetypes
import gradio as gr 
import torch
import stable_whisper
from stable_whisper.text_output import result_to_any, sec2srt
import time
from yt_dlp import YoutubeDL
import csv
import os
import subprocess
import glob
import shutil

def process_media(
    model_size, source_lang, upload, model_type,
    max_chars, max_words, extend_in, extend_out, collapse_gaps,
    max_lines_per_segment, line_penalty, longest_line_char_penalty,
    initial_prompt=None, *args
):
    if not initial_prompt:
        initial_prompt = None 

    start_time = time.time()

    if upload is None:
        return None, None, None, None 

    temp_path = upload.name

    if model_type == "faster whisper":
        device = "cuda" if torch.cuda.is_available() else "cpu"
        model = stable_whisper.load_faster_whisper(model_size, device=device)
        result = model.transcribe(
            temp_path,
            language=source_lang,
            vad=True,
            regroup=False,
            #denoiser="demucs",
            #batch_size=16,
            initial_prompt=initial_prompt
        )
    else:
        device = "cuda" if torch.cuda.is_available() else "cpu"
        model = stable_whisper.load_model(model_size, device=device)
        result = model.transcribe(
            temp_path,
            language=source_lang,
            vad=True,
            regroup=False,
            no_speech_threshold=0.9,
            denoiser="demucs",
            initial_prompt=initial_prompt
        )

    # ADVANCED SETTINGS #
    if max_chars or max_words:
        result.split_by_length(
            max_chars=int(max_chars) if max_chars else None,
            max_words=int(max_words) if max_words else None
        )

    # ----- Anti-flickering ----- #
    extend_start = float(extend_in) if extend_in else 0.0
    extend_end = float(extend_out) if extend_out else 0.0
    collapse_gaps_under = float(collapse_gaps) if collapse_gaps else 0.0

    for i in range(len(result) - 1):
        cur = result[i]
        next = result[i+1]

        if next.start - cur.end < extend_start + extend_end:
            k = extend_end / (extend_start + extend_end) if (extend_start + extend_end) > 0 else 0
            mid = cur.end * (1 - k) + next.start * k
            cur.end = next.start = mid
        else:
            cur.end += extend_end
            next.start -= extend_start

            if next.start - cur.end <= collapse_gaps_under:
                cur.end = next.start = (cur.end + next.start) / 2

    if result:
        result[0].start = max(0, result[0].start - extend_start)
        result[-1].end += extend_end

    # --- Custom SRT block output --- #
    original_filename = os.path.splitext(os.path.basename(temp_path))[0]
    srt_dir = tempfile.gettempdir()
    subtitles_path = os.path.join(srt_dir, f"{original_filename}.srt")

    result_to_any(
        result=result,
        filepath=subtitles_path,
        filetype='srt',
        segments2blocks=lambda segments: segments2blocks(
            segments,
            int(max_lines_per_segment) if max_lines_per_segment else 3,
            float(line_penalty) if line_penalty else 22.01,
            float(longest_line_char_penalty) if longest_line_char_penalty else 1.0
        ),
        word_level=False,
    )
    srt_file_path = subtitles_path
    transcript_txt = result.to_txt()

    mime, _ = mimetypes.guess_type(temp_path)
    audio_out = temp_path if mime and mime.startswith("audio") else None
    video_out = temp_path if mime and mime.startswith("video") else None


    return audio_out, video_out, transcript_txt, srt_file_path

def optimize_text(text, max_lines_per_segment, line_penalty, longest_line_char_penalty):
    text = text.strip()
    words = text.split()

    psum = [0]
    for w in words:
        psum += [psum[-1] + len(w) + 1]  

    bestScore = 10 ** 30
    bestSplit = None

    def backtrack(level, wordsUsed, maxLineLength, split):
        nonlocal bestScore, bestSplit

        if wordsUsed == len(words):
            score = level * line_penalty + maxLineLength * longest_line_char_penalty
            if score < bestScore:
                bestScore = score
                bestSplit = split
            return

        if level + 1 == max_lines_per_segment:
            backtrack(
                level + 1, len(words),
                max(maxLineLength, psum[len(words)] - psum[wordsUsed] - 1),
                split + [words[wordsUsed:]]
            )
            return

        for levelWords in range(1, len(words) - wordsUsed + 1):
            backtrack(
                level + 1, wordsUsed + levelWords,
                max(maxLineLength, psum[wordsUsed + levelWords] - psum[wordsUsed] - 1),
                split + [words[wordsUsed:wordsUsed + levelWords]]
            )

    backtrack(0, 0, 0, [])

    if not bestSplit:
        return text
        
    if len(bestSplit) > max_lines_per_segment or any(len(line) == 1 for line in bestSplit):
        return text

    optimized = '\n'.join(' '.join(words) for words in bestSplit)
    return optimized

def segment2optimizedsrtblock(segment: dict, idx: int, max_lines_per_segment, line_penalty, longest_line_char_penalty, strip=True) -> str:
    return f'{idx}\n{sec2srt(segment["start"])} --> {sec2srt(segment["end"])}\n' \
           f'{optimize_text(segment["text"], max_lines_per_segment, line_penalty, longest_line_char_penalty)}'

def segments2blocks(segments, max_lines_per_segment, line_penalty, longest_line_char_penalty):
    return '\n\n'.join(
        segment2optimizedsrtblock(s, i, max_lines_per_segment, line_penalty, longest_line_char_penalty, strip=True)
        for i, s in enumerate(segments)
    )

def extract_playlist_to_csv(playlist_url, cookies_path=None):
    ydl_opts = {
        'extract_flat': True,
        'quiet': True,
        'dump_single_json': True
    }
    try:
        cookies_path = _normalize_file_path(cookies_path)
        if cookies_path:
            ydl_opts['cookies'] = cookies_path
        with YoutubeDL(ydl_opts) as ydl:
            result = ydl.extract_info(playlist_url, download=False)
            entries = result.get('entries', [])
            fd, csv_path = tempfile.mkstemp(suffix=".csv", text=True)
            os.close(fd)
            with open(csv_path, 'w', newline='', encoding='utf-8') as f:
                writer = csv.writer(f)
                writer.writerow(['Title', 'Video ID', 'URL'])
                for video in entries:
                    title = video.get('title', 'N/A')
                    video_id = video['id']
                    url = f'https://www.youtube.com/watch?v={video_id}'
                    writer.writerow([title, video_id, url])
        return csv_path
    except Exception as e:
        return None

def download_srt(video_urls, cookies_path=None):
    try:
        if not video_urls:
            return None, "No URL provided"

        if isinstance(video_urls, (list, tuple)):
            urls = [u.strip() for u in video_urls if u and u.strip()]
        else:
            parts = []
            for line in str(video_urls).splitlines():
                for part in line.split(','):
                    parts.append(part.strip())
            urls = [p for p in parts if p]

        if not urls:
            return None, "No URL provided"

        downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
        output_template = os.path.join(downloads_dir, "%(id)s.%(ext)s")

        errors = []
        cookies_path = _normalize_file_path(cookies_path)
        try:
            if shutil.which("yt-dlp"):
                for url in urls:
                    if not url:
                        continue
                    cmd = [
                        "yt-dlp",
                        "--write-subs",
                        "--write-auto-subs",
                        "--sub-lang", "en-US",
                        "--skip-download",
                        "--convert-subs", "srt",
                        "-o", output_template,
                        # pass cookies if provided
                        url
                    ]
                    if cookies_path:
                        cmd.extend(["--cookies", cookies_path])
                    try:
                        result = subprocess.run(cmd, check=True, capture_output=True, text=True)
                        print(result.stdout)
                        print(result.stderr)
                    except Exception as e:
                        errors.append(f"{url}: {e}")
            else:
                ydl_opts = {
                    'writesubtitles': True,
                    'writeautomaticsub': True,
                    'subtitleslangs': ['en-US', 'en'],
                    'skip_download': True,
                    'outtmpl': output_template,
                    'quiet': True,
                    'subtitlesformat': 'srt'
                }
                if cookies_path:
                    ydl_opts['cookies'] = cookies_path
                try:
                    with YoutubeDL(ydl_opts) as ydl:
                        ydl.download(urls)
                except Exception as e:
                    errors.append(str(e))
        except Exception as e:
            errors.append(str(e))

        srt_files = glob.glob(os.path.join(downloads_dir, "*.srt"))
        vtt_files = glob.glob(os.path.join(downloads_dir, "*.vtt"))
        all_files = srt_files + vtt_files

        if not all_files:
            if any("HTTP Error 429" in e or "429" in e for e in errors):
                return None, "Error: HTTP 429 Too Many Requests from YouTube. Try again later."
            err_msg = "; ".join(errors) if errors else "No subtitle files found in Downloads."
            return None, f"SRT download error: {err_msg}"

        temp_dir = tempfile.mkdtemp(prefix="ssui_srt_")
        copied_paths = []
        copy_errors = []
        for fpath in all_files:
            try:
                dest = os.path.join(temp_dir, os.path.basename(fpath))
                shutil.copy2(fpath, dest)
                copied_paths.append(dest)
            except Exception as e:
                copy_errors.append(f"{fpath}: {e}")

        if not copied_paths:
            msg = "; ".join(copy_errors) if copy_errors else "Failed to copy subtitle files."
            return None, f"SRT copy error: {msg}"

        if len(copied_paths) == 1:
            return copied_paths[0], f"Downloaded subtitle copied to {copied_paths[0]}"

        zip_base = os.path.join(temp_dir, "srt_files")
        zip_path = shutil.make_archive(zip_base, "zip", temp_dir)
        return zip_path, f"Multiple subtitle files archived to {zip_path}"

    except Exception as e:
        print("SRT download error:", e)
        return None, "Saved in Downloads"

def _normalize_file_path(file_input):
    """Normalize a Gradio file return value (or path) to a string path for yt-dlp cookies.
    Supports strings, file-like objects, and Gradio dict-style file objects.
    """
    if not file_input:
        return None
    # Direct string path
    if isinstance(file_input, str):
        return file_input
    # Gradio returns a dict sometimes with a 'name' or 'tmp_path' field
    if isinstance(file_input, dict):
        for k in ("name", "tmp_path", "tempfile", "file_path", "path"):
            if k in file_input and file_input[k]:
                return file_input[k]
        return None
    # File-like objects often have a .name attribute
    try:
        return getattr(file_input, "name", None)
    except Exception:
        return None


def check_youtube_tag(video_url, tag_to_check, cookies_path=None):

    try:
        cookies_path = _normalize_file_path(cookies_path)
        ydl_opts = {"quiet": True}
        if cookies_path:
            ydl_opts["cookies"] = cookies_path
        # Use a browser-like User-Agent by default to reduce SABR/format issues
        ydl_opts.setdefault("http_headers", {})
        ydl_opts["http_headers"].setdefault("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36")
        with YoutubeDL(ydl_opts) as ydl:
            info = ydl.extract_info(video_url, download=False)
            tags = info.get('tags', [])
            tag_to_check_norm = tag_to_check.lower()
            tags_norm = [t.lower() for t in tags]
            # Exact match, case-insensitive, apostrophe style must match
            exists = any(tag_to_check_norm == t for t in tags_norm)
            if exists:
                return f"Tag/s '{tag_to_check}' EXISTS in video"
            else:
                return f"Tag/s '{tag_to_check}' DOES NOT EXIST in video.\n\nTags found: {tags if tags else 'None'}"
    except Exception as e:
        err = str(e)
        if 'Sign in to confirm your age' in err or ('Sign in' in err and 'age' in err):
            return f"Error checking {video_url}: This video is age-restricted and requires authentication (provide a cookies.txt file)."
        if 'HTTP Error 403' in err or '403' in err:
            return f"Error checking {video_url}: HTTP 403 Forbidden - try supplying a cookies file or updating yt-dlp with `yt-dlp -U`."
        return f"Error checking {video_url}: {err}"

def check_playlist_tags(playlist_url, tag_to_check, cookies_path=None):
    import tempfile, csv
    try:
        cookies_path = _normalize_file_path(cookies_path)
        ydl_opts = {
            'extract_flat': True,
            'quiet': True,
            'dump_single_json': True
        }
        if cookies_path:
            ydl_opts['cookies'] = cookies_path
        # Use browser user agent
        ydl_opts.setdefault("http_headers", {})
        ydl_opts["http_headers"].setdefault("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36")
        with YoutubeDL(ydl_opts) as ydl:
            result = ydl.extract_info(playlist_url, download=False)
            entries = result.get('entries', [])
            rows = []
            tag_to_check_norm = tag_to_check.lower()
            for video in entries:
                video_id = video.get('id')
                if not video_id:
                    title = video.get('title', 'N/A')
                    rows.append([title, '', 'No video ID in playlist entry'])
                    continue
                video_url = f'https://www.youtube.com/watch?v={video_id}'
                title = video.get('title', 'N/A')
                video_opts = {'quiet': True}
                if cookies_path:
                    video_opts['cookies'] = cookies_path
                # Add a user agent
                video_opts.setdefault("http_headers", {})
                video_opts["http_headers"].setdefault("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36")
                try:
                    with YoutubeDL(video_opts) as ydl_video:
                        info = ydl_video.extract_info(video_url, download=False)
                        # Detect unlisted flag if available
                        is_unlisted = info.get('is_unlisted') if isinstance(info, dict) else False
                        # Detect private, membership or age-limit fields if present
                        is_private = info.get('is_private') if isinstance(info, dict) and 'is_private' in info else False
                        age_limit = info.get('age_limit') if isinstance(info, dict) and 'age_limit' in info else 0
                        # Tags processing
                        tags = info.get('tags', []) or []
                        tags_norm = [t.lower() for t in tags]
                        exists = any(tag_to_check_norm == t for t in tags_norm)
                        # Build note components
                        parts = []
                        if is_unlisted:
                            parts.append('Unlisted')
                        if is_private:
                            parts.append('Private')
                        elif age_limit and int(age_limit) >= 18:
                            parts.append('Age-restricted')
                        if exists:
                            parts.append(f"Tag/s '{tag_to_check}' exists in video")
                        else:
                            parts.append('Tag/s does not exist in video')
                        note = '; '.join(parts)
                        rows.append([title, video_url, note])
                except Exception as e:
                    err = str(e)
                    err_lower = err.lower()
                    if 'sign in to confirm your age' in err_lower or ('age' in err_lower and 'sign in' in err_lower):
                        note = 'Age-restricted - cookies required or signed-in account needed'
                    elif 'private' in err_lower and 'video' in err_lower:
                        note = 'Private video - access denied'
                    elif 'video unavailable' in err_lower or 'not available' in err_lower or 'removed' in err_lower:
                        note = 'Video unavailable or removed'
                    elif '403' in err_lower or 'forbidden' in err_lower:
                        note = 'HTTP Error 403 Forbidden - cookies may be required or access denied'
                    else:
                        note = f"Could not check video: {err}"
                    rows.append([title, video_url, note])
            # Write to temp CSV
            fd, csv_path = tempfile.mkstemp(suffix=".csv", text=True)
            os.close(fd)
            with open(csv_path, 'w', newline='', encoding='utf-8') as f:
                writer = csv.writer(f)
                writer.writerow(["Title", "URL", "Notes"])
                writer.writerows(rows)
            return csv_path
    except Exception as e:
        # Write error to CSV
        fd, csv_path = tempfile.mkstemp(suffix=".csv", text=True)
        os.close(fd)
        with open(csv_path, 'w', newline='', encoding='utf-8') as f:
            writer = csv.writer(f)
            writer.writerow(["Title", "URL", "Notes"])
            writer.writerow(["Error", "", str(e)])
        return csv_path

WHISPER_LANGUAGES = [
    ("Afrikaans", "af"),
    ("Albanian", "sq"),
    ("Amharic", "am"),
    ("Arabic", "ar"),
    ("Armenian", "hy"),
    ("Assamese", "as"),
    ("Azerbaijani", "az"),
    ("Bashkir", "ba"),
    ("Basque", "eu"),
    ("Belarusian", "be"),
    ("Bengali", "bn"),
    ("Bosnian", "bs"),
    ("Breton", "br"),
    ("Bulgarian", "bg"),
    ("Burmese", "my"),
    ("Catalan", "ca"),
    ("Chinese", "zh"),
    ("Croatian", "hr"),
    ("Czech", "cs"),
    ("Danish", "da"),
    ("Dutch", "nl"),
    ("English", "en"),
    ("Estonian", "et"),
    ("Faroese", "fo"),
    ("Finnish", "fi"),
    ("French", "fr"),
    ("Galician", "gl"),
    ("Georgian", "ka"),
    ("German", "de"),
    ("Greek", "el"),
    ("Gujarati", "gu"),
    ("Haitian Creole", "ht"),
    ("Hausa", "ha"),
    ("Hebrew", "he"),
    ("Hindi", "hi"),
    ("Hungarian", "hu"),
    ("Icelandic", "is"),
    ("Indonesian", "id"),
    ("Italian", "it"),
    ("Japanese", "ja"),
    ("Javanese", "jv"),
    ("Kannada", "kn"),
    ("Kazakh", "kk"),
    ("Khmer", "km"),
    ("Korean", "ko"),
    ("Lao", "lo"),
    ("Latin", "la"),
    ("Latvian", "lv"),
    ("Lingala", "ln"),
    ("Lithuanian", "lt"),
    ("Luxembourgish", "lb"),
    ("Macedonian", "mk"),
    ("Malagasy", "mg"),
    ("Malay", "ms"),
    ("Malayalam", "ml"),
    ("Maltese", "mt"),
    ("Maori", "mi"),
    ("Marathi", "mr"),
    ("Mongolian", "mn"),
    ("Nepali", "ne"),
    ("Norwegian", "no"),
    ("Nyanja", "ny"),
    ("Occitan", "oc"),
    ("Pashto", "ps"),
    ("Persian", "fa"),
    ("Polish", "pl"),
    ("Portuguese", "pt"),
    ("Punjabi", "pa"),
    ("Romanian", "ro"),
    ("Russian", "ru"),
    ("Sanskrit", "sa"),
    ("Serbian", "sr"),
    ("Shona", "sn"),
    ("Sindhi", "sd"),
    ("Sinhala", "si"),
    ("Slovak", "sk"),
    ("Slovenian", "sl"),
    ("Somali", "so"),
    ("Spanish", "es"),
    ("Sundanese", "su"),
    ("Swahili", "sw"),
    ("Swedish", "sv"),
    ("Tagalog", "tl"),
    ("Tajik", "tg"),
    ("Tamil", "ta"),
    ("Tatar", "tt"),
    ("Telugu", "te"),
    ("Thai", "th"),
    ("Turkish", "tr"),
    ("Turkmen", "tk"),
    ("Ukrainian", "uk"),
    ("Urdu", "ur"),
    ("Uzbek", "uz"),
    ("Vietnamese", "vi"),
    ("Welsh", "cy"),
    ("Yiddish", "yi"),
    ("Yoruba", "yo"),
]

with gr.Blocks() as interface:
    gr.HTML(
        """
        <style>.html-container.svelte-phx28p.padding { padding: 0 !important; }</style>
        <div class='custom-container'>
        <h1 style='text-align: left;'>Speech Solutions✨</h1>
        <p style='text-align: left;'> Hosted on 🤗
            <a href="https://huggingface.co/spaces/DeeeeeM/ssui-app" target="_blank">
                <b>Hugging Face Spaces</b>
            </a>
        </p>
        """
    )
    gr.Markdown(
    """
    This is a Gradio UI app that combines AI-powered speech and language processing technologies. This app supports the following features:

    - Speech-to-text (WhisperAI)
    - Language translation (GPT-4) (In progress)
    - Improved transcription (GPT-4) (In progress)
    - Text to Speech (In progress)

    UPDATE: The app now includes Youtube metadata extraction features: (title / URL / ID, subtitles, tag checking)

    <i><b>NOTE: This app is currently in the process of applying other AI-solutions for other use cases.</b></i>
    """
    )

    with gr.Tabs():
        with gr.TabItem("Speech to Text"):
            gr.HTML("<h2 style='text-align: left;'>OpenAI / Whisper + stable-ts</h2>")
            gr.Markdown(
            """ 
            Open Ai's <b>Whisper</b> is a versatile speech recognition model trained on diverse audio for tasks like multilingual transcription, translation, and language ID. With the help of <b>stable-ts</b>, it provides accurate word-level timestamps in chronological order without extra processing.

            <i>Note: The default values are set for balanced and faster processing, 
            you can choose: large, large v2, and large v3 <b>MODEL SIZE</b> for more accuracy, but they may take longer to process.</i>

            """
            )
            #General Settings
            with gr.Row():
                #Media Input
                with gr.Column(scale=1):
                    file_input = gr.File(label="Upload Audio or Video", file_types=["audio", "video"])
                #Settings
                with gr.Column(scale=1):
                    with gr.Group():
                        source_lang = gr.Dropdown(
                            choices=WHISPER_LANGUAGES,
                            label="Source Language",
                            value="tl",
                            interactive=True
                        )
                        model_type = gr.Dropdown(
                            choices=["faster whisper", "whisper"],
                            label="Model Type",
                            value="faster whisper",
                            interactive=True
                        )
                        model_size = gr.Dropdown(
                            choices=[
                                "deepdml/faster-whisper-large-v3-turbo-ct2",
                                "large-v3-turbo",
                                "large-v3",
                                "large-v2",
                                "large",
                                "medium",
                                "small",
                                "base",
                                "tiny"
                            ],
                            label="Model Size",
                            value="large-v2",
                            interactive=True
                        )
                        initial_prompt = gr.Textbox(
                            label="Initial Prompt (optional)",
                            lines=3,
                            placeholder="Add context, names, or style for the model here",
                            interactive=True
                        )

            #Advanced Settings
            with gr.Accordion("Advanced Settings", open=False):
                gr.Markdown(
                    """ 

                    These settings allow you to customize the segmentation of the audio or video file. Adjust these parameters to control how the segments are created based on characters, words, and lines.

                    <b><i>Note: The values currently set are the default values. You can adjust them to your needs, but be aware that changing these values may affect the segmentation of the audio or video file.</i></b>
                    """
                )
                with gr.Row():
                    with gr.Column():
                        max_chars = gr.Number(
                            label="Max Chars",
                            info="Maximum characters allowed in segment",
                            value=86,
                            precision=0,
                            interactive=True
                        )
                        max_words = gr.Number(
                            label="Max Words",
                            info="Maximum words allowed in segment",
                            value=30,
                            precision=0,
                            interactive=True
                        )
                        max_lines_per_segment = gr.Number(
                            label="Max Lines Per Segment",
                            info="Max lines allowed per subtitle segment",
                            value=3,
                            precision=0,
                            interactive=True
                        )
                    with gr.Column():
                        extend_in = gr.Number(
                            label="Extend In",
                            info="Extend the start of all segments by this value (in seconds)",
                            value=0,
                            precision=2,
                            
                        )
                        extend_out = gr.Number(
                            label="Extend Out",
                            info="Extend the end of all segments by this value (in seconds)",
                            value=0.5,
                            precision=2,
                            interactive=True
                        )
                        collapse_gaps = gr.Number(
                            label="Collapse Gaps",
                            info="Collapse gaps between segments under a certain duration",
                            value=0.3,
                            precision=2,
                            interactive=True
                        )
                        
                    with gr.Column():
                        line_penalty = gr.Number(
                            label="Longest Line Character",
                            info="Penalty for each additional line (used to decide when to split segment into several lines)",
                            value=22.01,
                            precision=2,
                            interactive=True
                        )
                        longest_line_char_penalty = gr.Number(
                            label="Longest Line Character",
                            info="Penalty for each character of the longest segment line (used to decide when to split segment into several lines)",
                            value=1,
                            precision=2,
                            interactive=True
                        )
            submit_btn = gr.Button("- PROCESS -")            
            with gr.Row(): 
                with gr.Column():
                    transcript_output = gr.Textbox(label="Transcript", lines=8, interactive=False)
                    srt_output = gr.File(label="Download SRT", interactive=False)

                with gr.Column():
                    video_output = gr.Video(label="Video Output")
                    audio_output = gr.Audio(label="Audio Output")

            submit_btn.click(
                fn=process_media,
                inputs=[
                    model_size, source_lang, file_input, model_type,
                    max_chars, max_words, extend_in, extend_out, collapse_gaps,
                    max_lines_per_segment, line_penalty, longest_line_char_penalty
                ],
                outputs=[audio_output, video_output, transcript_output, srt_output]
            )

        with gr.TabItem("Youtube playlist extractor"):
            gr.Markdown("### Extract YT Title, URL, and ID from a YouTube playlist and download as CSV.")
            playlist_url = gr.Textbox(label="YouTube Playlist URL", placeholder="Paste playlist URL here")
            cookie_file_extract = gr.File(label="YouTube Cookies File (optional)", file_types=None, interactive=True)
            process_btn = gr.Button("Process")
            csv_output = gr.File(label="Download CSV")
            process_btn.click(
                extract_playlist_to_csv,
                inputs=[playlist_url, cookie_file_extract],
                outputs=csv_output
            )

        with gr.TabItem("SRT Downloader"):
            gr.Markdown("### Download English subtitles (.srt) from a YouTube video(s). <i>Separate each URL with a comma or Enter for multiple videos.</i>")

            srt_url = gr.Textbox(label="YouTube Video URL", placeholder="Paste video URL here")
            cookie_file_srt = gr.File(label="YouTube Cookies File (optional)", file_types=None, interactive=True)
            srt_btn = gr.Button("Process")
            srt_file = gr.File(label="Download SRT")
            srt_status = gr.Textbox(label="Status", interactive=False)
            srt_btn.click(
                download_srt,
                inputs=[srt_url, cookie_file_srt],
                outputs=[srt_file, srt_status]
            )

        with gr.TabItem("Tag Checker"):
            gr.Markdown("### Check if a specific tag exists in a YouTube video's metadata.")
            gr.Markdown("*Tip: If a video is age-restricted or otherwise requires authentication, export cookies from your browser (cookies.txt) and upload it below.*")
            gr.Markdown("*How to export cookies: Install the 'Get cookies.txt' extension in your browser, sign into YouTube in the browser, then export using the extension and upload the cookies file here.*")
            tag_url = gr.Textbox(label="YouTube Video URL", placeholder="Paste video URL here")
            tag_input = gr.Textbox(label="Tag to Check", placeholder="Type the tag (e.g. series:my father's wife)")
            cookie_file_tag = gr.File(label="YouTube Cookies File (optional)", file_types=None, interactive=True)
            tag_btn = gr.Button("Process")
            tag_output = gr.Textbox(label="Tag Check Result", interactive=False)
            tag_btn.click(
                check_youtube_tag,
                inputs=[tag_url, tag_input, cookie_file_tag],
                outputs=tag_output
            )

        with gr.TabItem("Playlist Tag Checker"):

            gr.Markdown(
                """ 
                Check if a specific tag exists in all videos of a YouTube playlist.

                <b><i>Note: The process may take longer due to the number of videos being checked.</i></b>
                """
            )
            gr.Markdown("*Tip: If some videos are age-restricted, upload a cookies.txt file so the app can check them.*")
            gr.Markdown("*How to export cookies: Install the 'Get cookies.txt' extension in your browser, sign into YouTube in the browser, then export using the extension and upload the cookies file here.*")
            playlist_url_tags = gr.Textbox(label="YouTube Playlist URL", placeholder="Paste playlist URL here")
            tag_input_playlist = gr.Textbox(label="Tag to Check", placeholder="Type the tag (e.g. series:my father's wife)")
            cookie_file_playlist = gr.File(label="YouTube Cookies File (optional)", file_types=None, interactive=True)
            tag_btn_playlist = gr.Button("Process")
            tag_output_playlist = gr.File(label="Download Tag Check CSV", interactive=False)
            tag_btn_playlist.click(
                check_playlist_tags,
                inputs=[playlist_url_tags, tag_input_playlist, cookie_file_playlist],
                outputs=tag_output_playlist
            )

    gr.HTML(
    """
    <audio id="notify-audio" src="https://www.soundjay.com/buttons/sounds/button-3.mp3"></audio>
    <script>
    function playNotify() {
        var audio = document.getElementById('notify-audio');
        if (audio) { audio.play(); }
    }
        let outputs = document.querySelectorAll("textarea, input[type='file'], video, audio");
        outputs.forEach(function(output) {
            output.addEventListener("change", playNotify);
        });
    });
    </script>
    """
)

interface.launch(share=True)