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Update app.py
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app.py
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@@ -6,6 +6,7 @@ import subprocess
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import requests
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import base64
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import math
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# Erlaubte Dateiformate
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allowed_medias = [".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tiff"]
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@@ -13,14 +14,28 @@ allowed_audios = [".mp3", ".wav", ".m4a", ".ogg"]
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API_URL = "https://text.pollinations.ai/openai"
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def convert_to_wav(audio_path):
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wav_path = Path(audio_path).with_suffix(".wav")
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cmd = ["ffmpeg", "-y", "-i", str(audio_path), "-ar", "16000", "-ac", "1", str(wav_path)]
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subprocess.run(cmd, check=True)
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return wav_path
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def transcribe_audio(
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with open(wav_file, "rb") as f:
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audio_data = base64.b64encode(f.read()).decode()
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payload = {
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@@ -49,7 +64,7 @@ def generate_slideshow_with_audio(images, audio_file, duration_per_image=3, y_po
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# Transkription, falls Audio vorhanden
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if audio_file:
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transcript = transcribe_audio(audio_file
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words = transcript.split()
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total_words = len(words)
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segments_per_image = math.ceil(total_words / len(images))
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@@ -58,9 +73,12 @@ def generate_slideshow_with_audio(images, audio_file, duration_per_image=3, y_po
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start = i * segments_per_image
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end = min((i + 1) * segments_per_image, total_words)
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texts.append(" ".join(words[start:end]))
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else:
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texts = [""] * len(images)
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for i, img_path in enumerate(images):
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clip_path = Path(temp_dir) / f"clip_{i}.mp4"
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text = texts[i] if i < len(texts) else ""
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@@ -72,7 +90,7 @@ def generate_slideshow_with_audio(images, audio_file, duration_per_image=3, y_po
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)
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if text:
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# Escape
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safe_text = text.replace(":", "\\:").replace("'", "\\'").replace(",", "\\,")
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drawtext_filter = (
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f",drawtext=text='{safe_text}':fontcolor=white:fontsize={font_size}:borderw=2:"
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@@ -120,13 +138,13 @@ def generate_slideshow_with_audio(images, audio_file, duration_per_image=3, y_po
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return None, f"❌ FFmpeg Concat Fehler:\n{e.stderr}"
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# Audio hinzufügen, falls vorhanden
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if
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final_output = Path(temp_dir) / f"slideshow_audio_{uuid.uuid4().hex}.mp4"
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cmd_audio = [
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"ffmpeg",
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"-y",
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"-i", str(output_file),
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"-i",
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"-c:v", "copy",
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"-c:a", "aac",
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"-shortest",
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@@ -163,4 +181,4 @@ with gr.Blocks() as demo:
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outputs=[out_video, status]
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)
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demo.launch()
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import requests
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import base64
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import math
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import shutil
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# Erlaubte Dateiformate
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allowed_medias = [".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tiff"]
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API_URL = "https://text.pollinations.ai/openai"
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def save_temp_audio(audio_file):
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"""
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Speichert die hochgeladene Datei sicher mit korrekter Endung in einem temporären Verzeichnis.
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"""
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ext = Path(audio_file.name).suffix
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if ext.lower() not in allowed_audios:
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ext = ".mp3" # Standard falls Endung fehlt
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temp_audio = Path(tempfile.mkdtemp()) / f"input{ext}"
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audio_file.seek(0)
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with open(temp_audio, "wb") as f:
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shutil.copyfileobj(audio_file, f)
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return temp_audio
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def convert_to_wav(audio_path):
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wav_path = Path(audio_path).with_suffix(".wav")
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cmd = ["ffmpeg", "-y", "-i", str(audio_path), "-ar", "16000", "-ac", "1", str(wav_path)]
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subprocess.run(cmd, check=True, capture_output=True, text=True)
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return wav_path
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def transcribe_audio(audio_file):
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temp_audio = save_temp_audio(audio_file)
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wav_file = convert_to_wav(temp_audio)
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with open(wav_file, "rb") as f:
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audio_data = base64.b64encode(f.read()).decode()
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payload = {
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# Transkription, falls Audio vorhanden
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if audio_file:
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transcript = transcribe_audio(audio_file)
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words = transcript.split()
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total_words = len(words)
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segments_per_image = math.ceil(total_words / len(images))
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start = i * segments_per_image
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end = min((i + 1) * segments_per_image, total_words)
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texts.append(" ".join(words[start:end]))
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temp_audio_file = save_temp_audio(audio_file)
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else:
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texts = [""] * len(images)
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temp_audio_file = None
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# Einzelne Clips erstellen
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for i, img_path in enumerate(images):
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clip_path = Path(temp_dir) / f"clip_{i}.mp4"
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text = texts[i] if i < len(texts) else ""
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)
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if text:
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# Escape problematischer Zeichen für FFmpeg
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safe_text = text.replace(":", "\\:").replace("'", "\\'").replace(",", "\\,")
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drawtext_filter = (
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f",drawtext=text='{safe_text}':fontcolor=white:fontsize={font_size}:borderw=2:"
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return None, f"❌ FFmpeg Concat Fehler:\n{e.stderr}"
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# Audio hinzufügen, falls vorhanden
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if temp_audio_file:
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final_output = Path(temp_dir) / f"slideshow_audio_{uuid.uuid4().hex}.mp4"
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cmd_audio = [
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"ffmpeg",
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"-y",
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"-i", str(output_file),
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"-i", str(temp_audio_file),
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"-c:v", "copy",
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"-c:a", "aac",
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"-shortest",
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outputs=[out_video, status]
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)
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demo.launch()
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