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#!/usr/bin/env python3
# coding: utf-8
""" Hugging Face Space (Gradio) App: Video -> Audio -> Whisper Transkript (+ Downloads SRT/TXT/VTT/JSON)
Tab 1: Transkription
- Video per URL (yt-dlp) oder Upload
- Audio-Extraktion via ffmpeg
- Transkription mit Whisper (lokal)
- Downloads: SRT, VTT, TXT, JSON
Tab 2: Netzwerk / DNS Diagnose
- Testet DNS-Auflösung für mehrere Hosts
- Testet HTTP-Requests auf Basis-URLs
- Zeigt Version/Verfügbarkeit von yt-dlp und ffmpeg
Hinweis: Verwende diese App nur für eigene oder freigegebene Inhalte. """
import os
import subprocess
import tempfile
import json
from pathlib import Path
from datetime import timedelta
import socket
import urllib.request
from urllib.parse import urlparse
import gradio as gr
try:
import whisper
except ImportError:
whisper = None
try:
from dns import resolver as dns_resolver
except ImportError:
dns_resolver = None
# ---------------------------------------------------------------------------
# Helper: Shell
# ---------------------------------------------------------------------------
def run_capture(cmd):
"""Run a command and return stdout; raise RuntimeError with readable stderr on failure."""
result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
if result.returncode != 0:
stderr_text = result.stderr or ""
tail = stderr_text[-2000:]
raise RuntimeError("Command failed: " + " ".join(cmd) + " " + tail)
return result.stdout
# ---------------------------------------------------------------------------
# NEUE FUNKTION: DNS-Auflösung via dnspython
# ---------------------------------------------------------------------------
def resolve_hostname_with_dns_python(hostname):
"""Resolves a hostname using a public DNS server to bypass local DNS blocks."""
if not dns_resolver:
# Fallback auf System-DNS, wenn dnspython nicht installiert ist
print("Warning: dnspython not found. Falling back to system DNS.")
return socket.gethostbyname(hostname)
try:
resolver = dns_resolver.Resolver()
resolver.nameservers = ['8.8.8.8', '1.1.1.1'] # Google & Cloudflare DNS
answers = resolver.resolve(hostname, 'A')
if answers:
return answers[0].to_text()
except Exception as e:
print(f"DNS resolution with dnspython failed for {hostname}: {e}")
# Als letzten Ausweg versuchen wir es mit dem System-Resolver
try:
return socket.gethostbyname(hostname)
except Exception as se:
raise se # Den ursprünglichen Systemfehler auslösen
return None
# ---------------------------------------------------------------------------
# MODIFIZIERTE FUNKTION: Download & Audio
# ---------------------------------------------------------------------------
def download_video_with_ytdlp(url, out_dir, cookies_path=None, format_selector=None):
"""Download a video with yt-dlp, using custom DNS resolution if necessary."""
out_template = str(Path(out_dir) / "%(title)s.%(ext)s")
cmd = ["yt-dlp", "-o", out_template]
# DNS-Umgehung implementieren
try:
parsed_url = urlparse(url)
hostname = parsed_url.hostname
if hostname:
print(f"Resolving hostname: {hostname}")
ip_address = resolve_hostname_with_dns_python(hostname)
if ip_address:
print(f"Resolved {hostname} to {ip_address}. Using --resolve.")
# --resolve weist yt-dlp an, diese IP für den Hostnamen auf Port 443 zu verwenden
resolve_arg = f"{hostname}:443:{ip_address}"
cmd.extend(["--resolve", resolve_arg])
except Exception as e:
print(f"Could not perform custom DNS resolution, proceeding without it. Error: {e}")
if format_selector:
cmd += ["-f", format_selector]
if cookies_path:
cmd += ["--cookies", cookies_path]
cmd.append(url)
print(f"Running command: {' '.join(cmd)}")
try:
run_capture(cmd)
except RuntimeError as e:
msg = str(e)
if "Failed to resolve" in msg or "Name or service not known" in msg:
raise RuntimeError(
"DNS/Internet-Problem: Der Host konnte nicht aufgelöst werden. "
"Selbst die DNS-Umgehung ist fehlgeschlagen. Möglicherweise blockiert eine Firewall auch die IP-Adressen."
)
raise
files = sorted(Path(out_dir).glob("*"), key=lambda p: p.stat().st_mtime, reverse=True)
if not files:
raise FileNotFoundError("Download fehlgeschlagen — keine Datei gefunden.")
return str(files[0])
def extract_audio_ffmpeg(video_path, out_wav):
cmd = ["ffmpeg", "-y", "-i", video_path, "-vn", "-ac", "1", "-ar", "16000", "-f", "wav", out_wav]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
return out_wav
# ... (der Rest des Codes von "Zeit- und Format-Helfer" bis zum Ende bleibt identisch)
# Ich füge ihn hier zur Vollständigkeit ein.
# ---------------------------------------------------------------------------
# Zeit- und Format-Helfer
# ---------------------------------------------------------------------------
def seconds_to_timestamp(s):
hours = int(s // 3600)
minutes = int((s % 3600) // 60)
seconds = int(s % 60)
ms = int(round((s - int(s)) * 1000))
return f"{hours:02d}:{minutes:02d}:{seconds:02d},{ms:03d}"
def format_timestamp_vtt(s):
hours = int(s // 3600)
minutes = int((s % 3600) // 60)
seconds = int(s % 60)
ms = int(round((s - int(s)) * 1000))
return f"{hours:02d}:{minutes:02d}:{seconds:02d}.{ms:03d}"
def segments_to_srt(segments):
parts = []
for i, seg in enumerate(segments, start=1):
start = seconds_to_timestamp(seg['start'])
end = seconds_to_timestamp(seg['end'])
text = seg['text'].strip()
parts.append(f"{i}\n{start} --> {end}\n{text}")
return "\n\n".join(parts) + "\n\n"
def segments_to_vtt(segments):
parts = ["WEBVTT\n"]
for seg in segments:
start = format_timestamp_vtt(seg['start'])
end = format_timestamp_vtt(seg['end'])
text = seg['text'].strip()
parts.append(f"{start} --> {end}\n{text}")
return "\n\n".join(parts)
def segments_to_txt(segments):
return "\n".join([f"[{seconds_to_timestamp(seg['start'])}] {seg['text'].strip()}" for seg in segments])
def segments_to_json(segments, language=None, metadata=None):
data = {"language": language, "segments": segments}
if metadata:
data["metadata"] = metadata
return json.dumps(data, ensure_ascii=False, indent=2)
# ---------------------------------------------------------------------------
# Kern-Pipeline: Transkription
# ---------------------------------------------------------------------------
def transcribe_pipeline(file_obj, url, model_size, keep_video=False, cookies_file=None, format_selector=None):
if whisper is None:
return "Fehler: whisper ist nicht installiert.", None, None, None, None, None
tmpdir = tempfile.mkdtemp(prefix="whisper_space_")
try:
if url:
video_path = download_video_with_ytdlp(url, tmpdir, cookies_path=cookies_file, format_selector=format_selector)
elif file_obj:
video_path = file_obj.name
else:
return "Kein Video angegeben.", None, None, None, None, None
audio_wav = str(Path(tmpdir) / "audio.wav")
extract_audio_ffmpeg(video_path, audio_wav)
model = whisper.load_model(model_size)
result = model.transcribe(audio_wav, verbose=False)
segments = result.get("segments", [])
language = result.get("language", "unknown")
txt_text = segments_to_txt(segments)
srt_text = segments_to_srt(segments)
vtt_text = segments_to_vtt(segments)
json_text = segments_to_json(segments, language, {"model": model_size})
base = Path(video_path).stem
files = {}
for ext, content in {"srt": srt_text, "vtt": vtt_text, "txt": txt_text, "json": json_text}.items():
p = Path(tmpdir) / f"{base}.{ext}"
p.write_text(content, encoding="utf-8")
files[ext] = str(p)
if not keep_video and url:
try:
os.remove(video_path)
except Exception:
pass
meta = f"Model: {model_size}, Sprache: {language}"
return txt_text, files["srt"], files["vtt"], files["txt"], files["json"], meta
except Exception as e:
return f"Fehler: {e}", None, None, None, None, None
# ---------------------------------------------------------------------------
# Netzwerk / DNS Diagnose
# ---------------------------------------------------------------------------
def dns_internet_diag():
lines = []
lines.append("=== DNS-Auflösung (System) ===")
for host in ["huggingface.co", "www.google.com", "www.instagram.com", "youtube.com"]:
try:
ip = socket.gethostbyname(host)
lines.append(f"{host} -> {ip} (OK)")
except Exception as e:
lines.append(f"{host} -> ERROR: {e}")
if dns_resolver:
lines.append("\n\n=== DNS-Auflösung (via dnspython mit 8.8.8.8) ===")
for host in ["huggingface.co", "www.google.com", "www.instagram.com", "youtube.com"]:
try:
ip = resolve_hostname_with_dns_python(host)
lines.append(f"{host} -> {ip} (OK)")
except Exception as e:
lines.append(f"{host} -> ERROR: {e}")
lines.append("\n\n=== HTTP-Requests (GET) ===")
for url in ["https://huggingface.co", "https://www.google.com"]:
try:
with urllib.request.urlopen(url, timeout=5) as resp:
code = getattr(resp, "status", None) or resp.getcode()
lines.append(f"{url} -> OK (Status {code})")
except Exception as e:
lines.append(f"{url} -> ERROR: {e}")
lines.append("\n\n=== yt-dlp ===")
try:
out = run_capture(["yt-dlp", "--version"])
lines.append(f"yt-dlp Version: {out.strip()}")
except Exception as e:
lines.append(f"yt-dlp Fehler: {e}")
lines.append("\n\n=== ffmpeg ===")
try:
out = run_capture(["ffmpeg", "-version"])
first = out.splitlines()[0] if out else "(keine Ausgabe)"
lines.append(first)
except Exception as e:
lines.append(f"ffmpeg Fehler: {e}")
return "\n".join(lines)
# ---------------------------------------------------------------------------
# Gradio UI mit zwei Tabs
# ---------------------------------------------------------------------------
with gr.Blocks() as demo:
gr.Markdown("# Video → Whisper Transkript (SRT/TXT/VTT/JSON)")
with gr.Tab("Transkription"):
with gr.Row():
with gr.Column():
url_in = gr.Textbox(label="Video URL", placeholder="https://...")
file_in = gr.File(label="Oder Videodatei hochladen")
cookies_in = gr.File(label="Cookies.txt (optional, für yt-dlp)")
fmt_in = gr.Textbox(label="Format (optional, yt-dlp -f)", placeholder="z.B. bestvideo+bestaudio/best")
model_sel = gr.Radio(["tiny", "base", "small", "medium", "large"], value="small", label="Whisper-Modell")
keep_chk = gr.Checkbox(label="Video behalten (bei URL-Download)", value=False)
btn = gr.Button("Transkribieren")
status = gr.Textbox(label="Status / Meta", interactive=False)
with gr.Column():
transcript = gr.Textbox(label="Transkript", lines=20)
srt_dl = gr.File(label="SRT")
vtt_dl = gr.File(label="VTT")
txt_dl = gr.File(label="TXT")
json_dl = gr.File(label="JSON")
def run_transcribe(f, u, m, k, c, fmt):
cookies_path = c.name if c else None
display, srtf, vttf, txtf, jsonf, meta = transcribe_pipeline(
f, u, m, k, cookies_file=cookies_path, format_selector=(fmt or None)
)
return (
display,
gr.update(value=srtf, visible=bool(srtf)),
gr.update(value=vttf, visible=bool(vttf)),
gr.update(value=txtf, visible=bool(txtf)),
gr.update(value=jsonf, visible=bool(jsonf)),
meta,
)
btn.click(
run_transcribe,
[file_in, url_in, model_sel, keep_chk, cookies_in, fmt_in],
[transcript, srt_dl, vtt_dl, txt_dl, json_dl, status],
)
with gr.Tab("Netzwerk / DNS Diagnose"):
gr.Markdown(
"""Führt Tests für den System-DNS und einen externen DNS (via dnspython) durch.
Wenn der System-DNS fehlschlägt, der externe aber funktioniert, ist die DNS-Umgehung aktiv.
Wenn beides fehlschlägt, blockiert eine Firewall wahrscheinlich auch die IP-Adressen."""
)
diag_btn = gr.Button("Diagnose starten")
diag_out = gr.Textbox(label="Diagnose-Ausgabe", lines=25)
diag_btn.click(dns_internet_diag, inputs=[], outputs=[diag_out])
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))