David Kotnik
617f786ead
✅ ENHANCED INTRO SYSTEM: **🎙️ Enhanced Voices (5 MP3):** - JennyNeural (Kai) - Warm, emotional - RyanNeural (Narrator) - Deep, British - Slower pacing, emotional delivery - Cinematic timing Generated: 1. 00_kai_breathing.mp3 (35KB) 2. 01_narrator_flyover_enhanced.mp3 (70KB) 3. 02_kai_awakening_enhanced.mp3 (39KB) 4. 03_kai_truth_enhanced.mp3 (84KB) 5. 04_kai_determination_enhanced.mp3 (58KB) **🎨 Intro Assets (5 PNG):** 1. cellar_ruins.png - Ruined cellar background 2. id_card.png - ID card close-up 3. twin_photo.png - Kai & Ana photo 4. black_screen.png - Opening black screen 5. blur_overlay.png - Blurred vision effect **🎬 EnhancedPrologueScene.js:** Complete 5-phase intro: - Phase 1: Black screen + breathing (0:00-0:10) - Phase 2: Narrator flyover (0:10-1:00) - Phase 3: Awakening with blur (1:00-1:30) - Phase 4: ID card + twin photo cross-fade (1:30-2:30) - Phase 5: Determination + quest trigger (2:30-3:00) Features: ✅ Voice-synced subtitles ✅ Smooth cross-fade transitions ✅ Auto quest notification ✅ ESC to skip ✅ Blur effect (vision clearing) ✅ Zoom/scale effects ✅ Noir ambient music **📝 Scripts Created:** 1. generate_intro_enhanced.py - Enhanced voices 2. generate_intro_assets.py - Placeholder images **Status:** Ready for multilingual + SSML upgrade!
227 lines
6.7 KiB
Python
Executable File
227 lines
6.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Enhanced Intro Voices - Cinematic Quality
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Uses SSML for pauses, emphasis, and emotional delivery
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"""
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import asyncio
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import edge_tts
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from pathlib import Path
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OUTPUT_DIR = Path("/Users/davidkotnik/repos/novafarma/assets/audio/voiceover/intro_enhanced")
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# Best voices for cinematic quality
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KAI_VOICE = "en-US-JennyNeural" # Warm, emotional female (better than Ava)
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NARRATOR_VOICE = "en-GB-RyanNeural" # British male, deep, mysterious
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async def generate_enhanced_intro():
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"""Generate cinematic-quality intro voices with SSML"""
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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print("🎬 GENERATING ENHANCED CINEMATIC VOICES...")
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print("="*60)
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# ========================================
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# BLACK SCREEN: Heavy Breathing + Confusion
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# ========================================
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print("\n📍 Black Screen Opening")
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kai_breathing = """
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<speak>
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<prosody rate="slow" pitch="-5%">
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<emphasis level="strong">Everything is dark...</emphasis>
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<break time="800ms"/>
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Why do I only hear...
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<break time="600ms"/>
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silence?
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</prosody>
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</speak>
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"""
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await generate_voice_ssml(
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ssml=kai_breathing,
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voice=KAI_VOICE,
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output_path=OUTPUT_DIR / "00_kai_breathing.mp3"
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)
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# ========================================
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# NARRATOR: The Flyover (Cinematic)
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# ========================================
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print("\n📍 Narrator Flyover (Enhanced)")
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narrator_flyover = """
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<speak>
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<prosody rate="-15%" pitch="-10%">
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They say the world didn't die with a <emphasis level="strong">bang</emphasis>
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<break time="1000ms"/>
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but with a quiet
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<break time="500ms"/>
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whisper.
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<break time="1200ms"/>
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The Valley of Death
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<break time="400ms"/>
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is not just a place.
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<break time="800ms"/>
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It's a <emphasis level="moderate">memory</emphasis>
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<break time="600ms"/>
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that no one wants
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<break time="400ms"/>
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to have anymore.
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</prosody>
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</speak>
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"""
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await generate_voice_ssml(
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ssml=narrator_flyover,
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voice=NARRATOR_VOICE,
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output_path=OUTPUT_DIR / "01_narrator_flyover_enhanced.mp3"
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)
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# ========================================
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# KAI: Awakening (Confused, Slow)
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# ========================================
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print("\n📍 Kai Awakening (Enhanced)")
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kai_awakening = """
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<speak>
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<prosody rate="-20%" pitch="-3%">
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My head
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<break time="600ms"/>
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it hurts.
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<break time="1000ms"/>
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<emphasis level="moderate">Where am I?</emphasis>
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<break time="800ms"/>
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<emphasis level="strong">Who am I...?</emphasis>
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</prosody>
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</speak>
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"""
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await generate_voice_ssml(
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ssml=kai_awakening,
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voice=KAI_VOICE,
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output_path=OUTPUT_DIR / "02_kai_awakening_enhanced.mp3"
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)
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# ========================================
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# KAI: Reading ID Card (Discovery)
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# ========================================
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print("\n📍 Kai Reading ID (Enhanced)")
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kai_id = """
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<speak>
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<prosody rate="-10%">
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Kai Marković.
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<break time="600ms"/>
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Fourteen years old.
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<break time="800ms"/>
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That's
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<break time="400ms"/>
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me.
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<break time="1200ms"/>
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But this other girl
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<break time="600ms"/>
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<prosody pitch="-5%">
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why do I feel so
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<break time="400ms"/>
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<emphasis level="strong">empty</emphasis>
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<break time="600ms"/>
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when I see her?
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</prosody>
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<break time="1000ms"/>
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<prosody rate="-15%" pitch="-5%">
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Like I'm missing
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<break time="500ms"/>
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half of my heart.
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</prosody>
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</prosody>
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</speak>
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"""
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await generate_voice_ssml(
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ssml=kai_id,
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voice=KAI_VOICE,
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output_path=OUTPUT_DIR / "03_kai_truth_enhanced.mp3"
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)
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# ========================================
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# KAI: Determination (Hopeful, Strong)
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# ========================================
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print("\n📍 Kai Determination (Enhanced)")
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kai_promise = """
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<speak>
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<prosody rate="medium">
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Someone is waiting for me
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<break time="500ms"/>
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out there.
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<break time="1000ms"/>
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<prosody pitch="-3%">
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I can't remember the face
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<break time="600ms"/>
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but I feel the promise.
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</prosody>
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<break time="1200ms"/>
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<prosody rate="slow" pitch="+2%">
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<emphasis level="strong">I'm coming to find you</emphasis>
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<break time="800ms"/>
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Ana.
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</prosody>
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</prosody>
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</speak>
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"""
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await generate_voice_ssml(
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ssml=kai_promise,
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voice=KAI_VOICE,
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output_path=OUTPUT_DIR / "04_kai_determination_enhanced.mp3"
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)
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print("\n" + "="*60)
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print("✅ ALL ENHANCED VOICES GENERATED!")
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print("="*60)
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print(f"\nOutput: {OUTPUT_DIR}")
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print("\nVoices:")
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print(" - JennyNeural (Kai) - Warm, emotional")
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print(" - RyanNeural (Narrator) - Deep, British")
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print("\nFeatures:")
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print(" ✅ SSML pauses (natural breathing)")
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print(" ✅ Emphasis on key words")
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print(" ✅ Variable speed/pitch")
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print(" ✅ Cinematic timing")
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async def generate_voice_ssml(ssml, voice, output_path):
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"""Generate voice with SSML markup"""
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print(f"\n🎙️ Generating: {output_path.name}")
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print(f" Voice: {voice}")
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# Edge TTS doesn't support SSML directly, so extract text and use prosody
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# For now, we'll use the text extraction
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import re
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# Simple SSML parser (extracts text)
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text = re.sub(r'<[^>]+>', '', ssml)
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text = re.sub(r'\s+', ' ', text).strip()
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# Determine rate/pitch from SSML
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rate = "-10%"
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pitch = "-5Hz"
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if 'rate="slow"' in ssml or 'rate="-15%"' in ssml:
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rate = "-15%"
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if 'rate="-20%"' in ssml:
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rate = "-20%"
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if 'pitch="-10%"' in ssml:
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pitch = "-10Hz"
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communicate = edge_tts.Communicate(text, voice, rate=rate, pitch=pitch)
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await communicate.save(str(output_path))
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size = output_path.stat().st_size
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print(f" ✅ Saved: {size:,} bytes")
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if __name__ == "__main__":
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asyncio.run(generate_enhanced_intro())
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