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Update app.py
Browse files
app.py
CHANGED
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@@ -3,6 +3,17 @@
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"""
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Hugging Face Space (Gradio) App: Video -> Audio -> Whisper Transkript (+ Downloads SRT/TXT/VTT/JSON)
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Hinweis: Verwende diese App nur für eigene oder freigegebene Inhalte.
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"""
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import os
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@@ -11,6 +22,9 @@ import tempfile
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import json
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from pathlib import Path
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from datetime import timedelta
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import gradio as gr
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try:
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@@ -18,14 +32,30 @@ try:
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except Exception:
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whisper = None
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def run_capture(cmd):
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result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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if result.returncode != 0:
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err_tail = result.stderr[-1000:] if result.stderr else ""
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raise RuntimeError(f"Command failed: {' '.join(cmd)}
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return result.stdout
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out_template = str(Path(out_dir) / "%(title)s.%(ext)s")
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cmd = ["yt-dlp", "-o", out_template]
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if format_selector:
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@@ -33,23 +63,35 @@ def download_video_with_ytdlp(url: str, out_dir: str, cookies_path=None, format_
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if cookies_path:
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cmd += ["--cookies", cookies_path]
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cmd.append(url)
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try:
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run_capture(cmd)
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except RuntimeError as e:
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msg = str(e)
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if "Failed to resolve" in msg or "Name or service not known" in msg:
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raise RuntimeError(
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raise
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files = sorted(Path(out_dir).glob("*"), key=lambda p: p.stat().st_mtime, reverse=True)
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if not files:
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raise FileNotFoundError("Download fehlgeschlagen — keine Datei gefunden.")
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return str(files[0])
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def extract_audio_ffmpeg(video_path, out_wav):
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cmd = ["ffmpeg", "-y", "-i", video_path, "-vn", "-ac", "1", "-ar", "16000", "-f", "wav", out_wav]
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subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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return out_wav
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def seconds_to_timestamp(s):
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hours = int(s // 3600)
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minutes = int((s % 3600) // 60)
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ms = int(round((s - int(s)) * 1000))
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return f"{hours:02d}:{minutes:02d}:{seconds:02d},{ms:03d}"
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def format_timestamp_vtt(s):
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hours = int(s // 3600)
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minutes = int((s % 3600) // 60)
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ms = int(round((s - int(s)) * 1000))
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return f"{hours:02d}:{minutes:02d}:{seconds:02d}.{ms:03d}"
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def segments_to_srt(segments):
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parts = []
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for i, seg in enumerate(segments, start=1):
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start = seconds_to_timestamp(seg['start'])
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end = seconds_to_timestamp(seg['end'])
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text = seg['text'].strip()
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parts.append(f"{i}
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def segments_to_vtt(segments):
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parts = ["WEBVTT
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for seg in segments:
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start = format_timestamp_vtt(seg['start'])
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end = format_timestamp_vtt(seg['end'])
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text = seg['text'].strip()
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parts.append(f"{start} --> {end}
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def segments_to_txt(segments):
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return "
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def segments_to_json(segments, language=None, metadata=None):
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data = {"language": language, "segments": segments}
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data["metadata"] = metadata
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return json.dumps(data, ensure_ascii=False, indent=2)
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def transcribe_pipeline(file_obj, url, model_size, keep_video=False, cookies_file=None, format_selector=None):
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if whisper is None:
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return "Fehler: whisper ist nicht installiert.", None, None, None, None, None
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tmpdir = tempfile.mkdtemp(prefix="whisper_space_")
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try:
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if url:
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cookies_path = cookies_file if cookies_file and os.path.exists(cookies_file) else None
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video_path = download_video_with_ytdlp(url, tmpdir, cookies_path=cookies_path, format_selector=format_selector)
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video_path = str(uploaded_path)
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else:
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return "Kein Video angegeben.", None, None, None, None, None
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audio_wav = str(Path(tmpdir) / "audio.wav")
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extract_audio_ffmpeg(video_path, audio_wav)
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model = whisper.load_model(model_size)
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result = model.transcribe(audio_wav, verbose=False)
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segments = result.get("segments", [])
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language = result.get("language", "unknown")
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srt_text = segments_to_srt(segments)
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vtt_text = segments_to_vtt(segments)
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txt_text = segments_to_txt(segments)
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json_text = segments_to_json(segments, language, {"model": model_size})
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base = Path(video_path).stem
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files = {}
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for ext, content in {"srt": srt_text, "vtt": vtt_text, "txt": txt_text, "json": json_text}.items():
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p = Path(tmpdir) / f"{base}.{ext}"
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p.write_text(content, encoding="utf-8")
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files[ext] = str(p)
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if not keep_video and url:
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try:
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os.remove(video_path)
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except Exception:
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pass
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except Exception as e:
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return f"Fehler: {e}", None, None, None, None, None
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with gr.Blocks() as demo:
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gr.Markdown("# Video → Whisper Transkript (SRT/TXT/VTT/JSON)")
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
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"""
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Hugging Face Space (Gradio) App: Video -> Audio -> Whisper Transkript (+ Downloads SRT/TXT/VTT/JSON)
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Tab 1: Transkription
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- Video per URL (yt-dlp) oder Upload
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- Audio-Extraktion via ffmpeg
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- Transkription mit Whisper (lokal)
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- Downloads: SRT, VTT, TXT, JSON
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Tab 2: Netzwerk / DNS Diagnose
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- Testet DNS-Auflösung für mehrere Hosts
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- Testet HTTP-Requests auf Basis-URLs
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- Zeigt Version/Verfügbarkeit von yt-dlp und ffmpeg
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Hinweis: Verwende diese App nur für eigene oder freigegebene Inhalte.
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"""
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import os
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import json
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from pathlib import Path
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from datetime import timedelta
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import socket
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import urllib.request
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import gradio as gr
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try:
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except Exception:
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whisper = None
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# ---------------------------------------------------------------------------
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# Helper: Shell
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# ---------------------------------------------------------------------------
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def run_capture(cmd):
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"""Run a command and return stdout, raise RuntimeError with stderr on failure."""
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result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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if result.returncode != 0:
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err_tail = result.stderr[-1000:] if result.stderr else ""
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raise RuntimeError(f"Command failed: {' '.join(cmd)}
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{err_tail}")
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return result.stdout
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# ---------------------------------------------------------------------------
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# Download & Audio
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# ---------------------------------------------------------------------------
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def download_video_with_ytdlp(url, out_dir, cookies_path=None, format_selector=None):
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"""Download a video with yt-dlp into out_dir and return the video path.
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- Wenn DNS/Internet für bestimmte Hosts (z.B. Instagram) geblockt ist,
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wird eine verständliche Fehlermeldung zurückgegeben.
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"""
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out_template = str(Path(out_dir) / "%(title)s.%(ext)s")
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cmd = ["yt-dlp", "-o", out_template]
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if format_selector:
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if cookies_path:
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cmd += ["--cookies", cookies_path]
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cmd.append(url)
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try:
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run_capture(cmd)
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except RuntimeError as e:
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msg = str(e)
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if "Failed to resolve" in msg or "Name or service not known" in msg:
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raise RuntimeError(
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"DNS/Internet-Problem: Der Space kann den Host nicht auflösen. "
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"URL-Download ist hier nicht möglich. Bitte Videodatei direkt hochladen "
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"oder den Space in einer Umgebung mit Internet/DNS-Freigabe ausführen."
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)
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raise
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files = sorted(Path(out_dir).glob("*"), key=lambda p: p.stat().st_mtime, reverse=True)
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if not files:
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raise FileNotFoundError("Download fehlgeschlagen — keine Datei gefunden.")
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return str(files[0])
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def extract_audio_ffmpeg(video_path, out_wav):
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cmd = ["ffmpeg", "-y", "-i", video_path, "-vn", "-ac", "1", "-ar", "16000", "-f", "wav", out_wav]
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subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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return out_wav
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# ---------------------------------------------------------------------------
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# Zeit- und Format-Helfer
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# ---------------------------------------------------------------------------
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def seconds_to_timestamp(s):
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hours = int(s // 3600)
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minutes = int((s % 3600) // 60)
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ms = int(round((s - int(s)) * 1000))
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return f"{hours:02d}:{minutes:02d}:{seconds:02d},{ms:03d}"
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def format_timestamp_vtt(s):
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hours = int(s // 3600)
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minutes = int((s % 3600) // 60)
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ms = int(round((s - int(s)) * 1000))
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return f"{hours:02d}:{minutes:02d}:{seconds:02d}.{ms:03d}"
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def segments_to_srt(segments):
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parts = []
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for i, seg in enumerate(segments, start=1):
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start = seconds_to_timestamp(seg['start'])
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end = seconds_to_timestamp(seg['end'])
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text = seg['text'].strip()
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parts.append(f"{i}
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{start} --> {end}
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{text}
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")
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return "
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".join(parts)
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def segments_to_vtt(segments):
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parts = ["WEBVTT
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"]
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for seg in segments:
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start = format_timestamp_vtt(seg['start'])
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end = format_timestamp_vtt(seg['end'])
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text = seg['text'].strip()
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parts.append(f"{start} --> {end}
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{text}
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")
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return "
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".join(parts)
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def segments_to_txt(segments):
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return "
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".join([f"[{seconds_to_timestamp(seg['start'])}] {seg['text'].strip()}" for seg in segments])
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def segments_to_json(segments, language=None, metadata=None):
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data = {"language": language, "segments": segments}
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data["metadata"] = metadata
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return json.dumps(data, ensure_ascii=False, indent=2)
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# ---------------------------------------------------------------------------
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# Kern-Pipeline: Transkription
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# ---------------------------------------------------------------------------
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def transcribe_pipeline(file_obj, url, model_size, keep_video=False, cookies_file=None, format_selector=None):
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if whisper is None:
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return "Fehler: whisper ist nicht installiert.", None, None, None, None, None
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tmpdir = tempfile.mkdtemp(prefix="whisper_space_")
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try:
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# Quelle bestimmen
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if url:
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cookies_path = cookies_file if cookies_file and os.path.exists(cookies_file) else None
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video_path = download_video_with_ytdlp(url, tmpdir, cookies_path=cookies_path, format_selector=format_selector)
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video_path = str(uploaded_path)
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else:
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return "Kein Video angegeben.", None, None, None, None, None
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# Audio extrahieren
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audio_wav = str(Path(tmpdir) / "audio.wav")
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extract_audio_ffmpeg(video_path, audio_wav)
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# Whisper laden & transkribieren
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model = whisper.load_model(model_size)
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result = model.transcribe(audio_wav, verbose=False)
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segments = result.get("segments", [])
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language = result.get("language", "unknown")
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# Ausgaben erzeugen
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srt_text = segments_to_srt(segments)
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vtt_text = segments_to_vtt(segments)
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txt_text = segments_to_txt(segments)
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json_text = segments_to_json(segments, language, {"model": model_size})
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base = Path(video_path).stem
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files = {}
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for ext, content in {"srt": srt_text, "vtt": vtt_text, "txt": txt_text, "json": json_text}.items():
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| 195 |
p = Path(tmpdir) / f"{base}.{ext}"
|
| 196 |
p.write_text(content, encoding="utf-8")
|
| 197 |
files[ext] = str(p)
|
| 198 |
+
|
| 199 |
if not keep_video and url:
|
| 200 |
try:
|
| 201 |
os.remove(video_path)
|
| 202 |
except Exception:
|
| 203 |
pass
|
| 204 |
+
|
| 205 |
+
meta = f"Model: {model_size}, Sprache: {language}"
|
| 206 |
+
return txt_text, files["srt"], files["vtt"], files["txt"], files["json"], meta
|
| 207 |
except Exception as e:
|
| 208 |
return f"Fehler: {e}", None, None, None, None, None
|
| 209 |
|
| 210 |
+
|
| 211 |
+
# ---------------------------------------------------------------------------
|
| 212 |
+
# Netzwerk / DNS Diagnose
|
| 213 |
+
# ---------------------------------------------------------------------------
|
| 214 |
+
|
| 215 |
+
def dns_internet_diag():
|
| 216 |
+
"""Führt einige Basis-Checks aus und gibt einen Textreport zurück."""
|
| 217 |
+
lines = []
|
| 218 |
+
|
| 219 |
+
# DNS-Checks
|
| 220 |
+
lines.append("=== DNS-Auflösung ===")
|
| 221 |
+
for host in ["huggingface.co", "www.google.com", "www.instagram.com"]:
|
| 222 |
+
try:
|
| 223 |
+
ip = socket.gethostbyname(host)
|
| 224 |
+
lines.append(f"{host} -> {ip}")
|
| 225 |
+
except Exception as e:
|
| 226 |
+
lines.append(f"{host} -> ERROR: {e}")
|
| 227 |
+
|
| 228 |
+
# HTTP-Checks
|
| 229 |
+
lines.append("
|
| 230 |
+
=== HTTP-Requests (GET) ===")
|
| 231 |
+
for url in ["https://huggingface.co", "https://www.google.com", "https://www.instagram.com"]:
|
| 232 |
+
try:
|
| 233 |
+
with urllib.request.urlopen(url, timeout=5) as resp:
|
| 234 |
+
code = getattr(resp, "status", None) or resp.getcode()
|
| 235 |
+
lines.append(f"{url} -> OK (Status {code})")
|
| 236 |
+
except Exception as e:
|
| 237 |
+
lines.append(f"{url} -> ERROR: {e}")
|
| 238 |
+
|
| 239 |
+
# yt-dlp
|
| 240 |
+
lines.append("
|
| 241 |
+
=== yt-dlp ===")
|
| 242 |
+
try:
|
| 243 |
+
out = run_capture(["yt-dlp", "--version"])
|
| 244 |
+
lines.append(f"yt-dlp Version: {out.strip()}")
|
| 245 |
+
except Exception as e:
|
| 246 |
+
lines.append(f"yt-dlp Fehler: {e}")
|
| 247 |
+
|
| 248 |
+
# ffmpeg
|
| 249 |
+
lines.append("
|
| 250 |
+
=== ffmpeg ===")
|
| 251 |
+
try:
|
| 252 |
+
out = run_capture(["ffmpeg", "-version"])
|
| 253 |
+
first = out.splitlines()[0] if out else "(keine Ausgabe)"
|
| 254 |
+
lines.append(first)
|
| 255 |
+
except Exception as e:
|
| 256 |
+
lines.append(f"ffmpeg Fehler: {e}")
|
| 257 |
+
|
| 258 |
+
return "
|
| 259 |
+
".join(lines)
|
| 260 |
+
|
| 261 |
+
|
| 262 |
+
# ---------------------------------------------------------------------------
|
| 263 |
+
# Gradio UI mit zwei Tabs
|
| 264 |
+
# ---------------------------------------------------------------------------
|
| 265 |
+
|
| 266 |
with gr.Blocks() as demo:
|
| 267 |
gr.Markdown("# Video → Whisper Transkript (SRT/TXT/VTT/JSON)")
|
| 268 |
+
|
| 269 |
+
with gr.Tab("Transkription"):
|
| 270 |
+
with gr.Row():
|
| 271 |
+
with gr.Column():
|
| 272 |
+
url_in = gr.Textbox(label="Video URL", placeholder="https://...")
|
| 273 |
+
file_in = gr.File(label="Oder Videodatei hochladen")
|
| 274 |
+
cookies_in = gr.File(label="Cookies.txt (optional, für yt-dlp)")
|
| 275 |
+
fmt_in = gr.Textbox(label="Format (optional, yt-dlp -f)", placeholder="z.B. bestvideo+bestaudio/best")
|
| 276 |
+
model_sel = gr.Radio(["tiny", "base", "small", "medium", "large"], value="small", label="Whisper-Modell")
|
| 277 |
+
keep_chk = gr.Checkbox(label="Video behalten (bei URL-Download)", value=False)
|
| 278 |
+
btn = gr.Button("Transkribieren")
|
| 279 |
+
status = gr.Textbox(label="Status / Meta", interactive=False)
|
| 280 |
+
with gr.Column():
|
| 281 |
+
transcript = gr.Textbox(label="Transkript", lines=20)
|
| 282 |
+
srt_dl = gr.File(label="SRT", visible=False)
|
| 283 |
+
vtt_dl = gr.File(label="VTT", visible=False)
|
| 284 |
+
txt_dl = gr.File(label="TXT", visible=False)
|
| 285 |
+
json_dl = gr.File(label="JSON", visible=False)
|
| 286 |
+
|
| 287 |
+
def run_transcribe(f, u, m, k, c, fmt):
|
| 288 |
+
cookies_path = c if isinstance(c, str) and os.path.exists(c) else None
|
| 289 |
+
display, srtf, vttf, txtf, jsonf, meta = transcribe_pipeline(f, u, m, k, cookies_file=cookies_path, format_selector=(fmt or None))
|
| 290 |
+
return (
|
| 291 |
+
display,
|
| 292 |
+
gr.update(value=srtf, visible=bool(srtf)),
|
| 293 |
+
gr.update(value=vttf, visible=bool(vttf)),
|
| 294 |
+
gr.update(value=txtf, visible=bool(txtf)),
|
| 295 |
+
gr.update(value=jsonf, visible=bool(jsonf)),
|
| 296 |
+
meta,
|
| 297 |
+
)
|
| 298 |
+
|
| 299 |
+
btn.click(
|
| 300 |
+
run_transcribe,
|
| 301 |
+
[file_in, url_in, model_sel, keep_chk, cookies_in, fmt_in],
|
| 302 |
+
[transcript, srt_dl, vtt_dl, txt_dl, json_dl, status],
|
| 303 |
+
)
|
| 304 |
+
|
| 305 |
+
with gr.Tab("Netzwerk / DNS Diagnose"):
|
| 306 |
+
gr.Markdown(
|
| 307 |
+
"""Führt einfache Tests für DNS, HTTP sowie yt-dlp/ffmpeg aus.
|
| 308 |
+
|
| 309 |
+
- Wenn z. B. `www.instagram.com` nicht auflösbar ist, liegt ein DNS-/Firewall-Problem vor.
|
| 310 |
+
|
| 311 |
+
- Wenn Hugging Face / Google funktionieren, aber Instagram nicht, blockt vermutlich die Umgebung nur bestimmte Domains.
|
| 312 |
+
"""
|
| 313 |
+
)
|
| 314 |
+
diag_btn = gr.Button("Diagnose starten")
|
| 315 |
+
diag_out = gr.Textbox(label="Diagnose-Ausgabe", lines=25)
|
| 316 |
+
|
| 317 |
+
diag_btn.click(dns_internet_diag, inputs=[], outputs=[diag_out])
|
| 318 |
+
|
| 319 |
|
| 320 |
if __name__ == "__main__":
|
| 321 |
+
demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
|