Audio Script Writer

from scripts.audio_writer import AudioScriptWriter

writer = AudioScriptWriter()

# Transform written content
script = writer.convert_to_audio(
    source_text=research_paper,
    format="podcast",  # podcast, video, lecture, audiobook
    target_audience="medical_students",
    duration_minutes=15
)

print(script.spoken_text)
# Converts: "The pathophysiology of diabetes mellitus involves..."
# To: "So what exactly happens in diabetes? Well, it all starts when..."

# Generate pronunciation guide
pronunciation = writer.create_pronunciation_guide(
    text=script,
    include_phonetic=True,
    include_syllables=True
)

# Output:
# "Hyperlipidemia: hi-per-lip-i-DEE-mee-uh"
# "Metformin: met-FOR-min"
# "Atherosclerosis: ath-er-oh-skleh-ROH-sis"

# Analyze timing
timing = writer.calculate_timing(
    script=script,
    speaking_rate="conversational",  # slow, conversational, fast
    include_pauses=True
)

print(f"Estimated duration: {timing.duration_minutes} minutes")
print(f"Word count: {timing.word_count}")
print(f"Pace: {timing.words_per_minute} WPM")

[BREATHE] - Brief pause for narrator
[PAUSE 2s] - Two-second pause for emphasis
[SLOW DOWN] - Reduce pace for key point
[SPEED UP] - Increase energy/excitement
[BEAT] - Dramatic pause

# Podcast episode
podcast = writer.create_podcast_script(
    content=article,
    episode_format="interview",  # solo, interview, panel
    include_intro_music=True,
    ad_breaks=[5, 12]  # minutes
)

# Educational video
video = writer.create_video_script(
    content=lecture_slides,
    visual_cues=True,  # Mark where visuals change
    b_roll_notes=True  # Suggest supplemental footage
)

# Convert paper to podcast script
python scripts/main.py \
  --input paper.pdf \
  --format podcast \
  --duration 15 \
  --style conversational \
  --include-intro-outro \
  --output podcast_script.txt

# Generate pronunciation guide
python scripts/main.py \
  --input podcast_script.txt \
  --generate-pronunciation \
  --output pronunciation_guide.txt

[INTRO MUSIC 5s]

HOST: Welcome to Medical Research Today. I'm your host...

[BREATHE]

HOST: Today we're diving into a fascinating study about...

[PAUSE]

HOST: So what did the researchers find? Well...

[BREATHE]

HOST: Dr. Smith, one of the study authors, explains...

[SOUND BITE: Interview clip]

...

[OUTRO MUSIC]

# Create lecture script
lecture = writer.create_lecture_script(
    notes=lecture_content,
    duration=45,  # minutes
    break_intervals=[15, 30],  # minutes for student breaks
    interaction_points=True  # "Pause and think..." prompts
)

# Add visual cues
script = writer.add_visual_cues(
    script=lecture,
    slide_transitions=True,
    animation_notes=True
)

# Patient-friendly script
patient_script = writer.create_patient_script(
    medical_content=diabetes_guide,
    reading_level=6,  # 6th grade
    empathetic_tone=True,
    key_points_highlighted=True
)

# Slow, clear pacing
patient_script.adjust_pacing(
    wpm=130,
    pause_after_sentences=1.5  # seconds
)

# Convert presentation script
python scripts/main.py \
  --input presentation_transcript.txt \
  --format video \
  --platform youtube \
  --include-hooks true \
  --engagement-cues true \
  --output youtube_script.txt

# Step 1: Extract and summarize content
python scripts/main.py \
  --input paper.pdf \
  --extract-key-points \
  --output key_points.txt

# Step 2: Convert to audio script
python scripts/main.py \
  --input key_points.txt \
  --format podcast \
  --duration 20 \
  --output raw_script.txt

# Step 3: Add production elements
python scripts/main.py \
  --input raw_script.txt \
  --add-music-cues \
  --add-sound-effects \
  --add-pacing-marks \
  --output production_script.txt

# Step 4: Generate pronunciation guide
python scripts/main.py \
  --input production_script.txt \
  --generate-pronunciation \
  --output pronunciations.txt

# Step 5: Create timing breakdown
python scripts/main.py \
  --input production_script.txt \
  --calculate-timing \
  --output timing_breakdown.txt

from scripts.audio_writer import AudioScriptWriter
from scripts.pronunciation import PronunciationGuide
from scripts.timing import TimingCalculator

# Initialize
writer = AudioScriptWriter()
pronouncer = PronunciationGuide()
timing = TimingCalculator()

# Read source material
with open("research_article.txt", "r") as f:
    content = f.read()

# Step 1: Convert to spoken format
script = writer.convert_to_audio(
    text=content,
    format="podcast",
    target_duration=15,  # minutes
    audience="general_medical"
)

# Step 2: Add production elements
script_with_cues = writer.add_production_cues(
    script=script,
    music_stings=True,
    transition_effects=True
)

# Step 3: Generate pronunciation guide
medical_terms = pronouncer.extract_terms(script_with_cues)
pronunciation_guide = pronouncer.create_guide(medical_terms)

# Step 4: Calculate timing
timing_analysis = timing.calculate(
    script=script_with_cues,
    speaking_rate=150  # WPM
)

# Export complete production package
writer.export_production_package(
    script=script_with_cues,
    pronunciation=pronunciation_guide,
    timing=timing_analysis,
    output_dir="podcast_production/"
)