Ruby Audio Intelligence

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  auto_chapters: true
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)
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transcript.chapters.each do |chapter|
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  printf(
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    '%<start>d-%<end>d: %<headline>s',
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    start: chapter.start,
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    end: chapter.end_,
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    headline: chapter.headline
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  )
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end

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  content_safety: true
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)
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transcript.content_safety_labels.results.each do |result|
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  puts result.text
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  printf("Timestamp: %<start>d-%<end>d\n", start: result.timestamp.start, end: result.timestamp.end_)
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  result.labels.each do |label|
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    printf(
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      "%<label>s - %<confidence>.16f - %<severity>.16f\n",
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      label: label.label,
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      confidence: label.confidence,
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      severity: label.severity
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    )
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  end
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  puts
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end
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transcript.content_safety_labels.summary.each_pair do |label, confidence|
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  printf(
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    "%<confidence>d%% confident that the audio contains %<label>s\n",
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    confidence: confidence * 100,
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    label: label
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  )
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end
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puts
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transcript.content_safety_labels.severity_score_summary.each_pair do |label, severity_confidence|
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  printf(
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    "%<confidence>d%% confident that the audio contains low-severity %<label>s\n",
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    confidence: severity_confidence.low * 100,
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    label: label
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  )
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  printf(
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    "%<confidence>d%% confident that the audio contains medium-severity %<label>s\n",
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    confidence: severity_confidence.medium * 100,
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    label: label
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  )
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  printf(
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    "%<confidence>d%% confident that the audio contains high-severity %<label>s\n",
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    confidence: severity_confidence.high * 100,
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    label: label
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  )
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end

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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  content_safety: true,
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  content_safety_confidence: 60
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)

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  entity_detection: true
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)
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transcript.entities.each do |entity|
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  puts entity.text
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  puts entity.entity_type
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  printf("Timestamp: %<start>d - %<end>d\n\n", start: entity.start, end: entity.end_)
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end

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  auto_highlights: true
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)
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transcript.auto_highlights_result.results.each do |result|
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  timestamps = (result.timestamps.map do |timestamp|
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    format(
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      '[Timestamp(start=%<start>s, end=%<end>s)]',
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      start: timestamp.start,
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      end: timestamp.end_
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    )
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  end).join(', ')
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  printf(
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    "Highlight: %<text>s, Count: %<count>d, Rank %<rank>.2f, Timestamps: %<timestamp>s\n",
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    text: result.text,
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    count: result.count,
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    rank: result.rank,
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    timestamp: timestamps
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  )
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end

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  redact_pii: true,
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  redact_pii_policies: [
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    AssemblyAI::Transcripts::PiiPolicy::PERSON_NAME,
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    AssemblyAI::Transcripts::PiiPolicy::ORGANIZATION,
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    AssemblyAI::Transcripts::PiiPolicy::OCCUPATION
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  ]
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)
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puts transcript.text

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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  redact_pii: true,
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  redact_pii_policies: [
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    AssemblyAI::Transcripts::PiiPolicy::PERSON_NAME,
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    AssemblyAI::Transcripts::PiiPolicy::ORGANIZATION,
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    AssemblyAI::Transcripts::PiiPolicy::OCCUPATION
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  ],
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  redact_pii_audio: true,
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  # Optional. Defaults to MP3.
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  redact_pii_audio_quality: AssemblyAI::Transcripts::RedactPiiAudioQuality::WAV
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)
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redaction_result = client.transcripts.get_redacted_audio(transcript_id: transcript.id)
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printf(
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  'Status: %<status>s, Redacted audio URL: %<url>s',
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  status: redaction_result.status,
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  url: redaction_result.redacted_audio_url
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)

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  sentiment_analysis: true
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)
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transcript.sentiment_analysis_results.each do |result|
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  puts result.text
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  puts result.sentiment
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  puts result.confidence
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  printf("%<start>d - %<end>d\n", start: result.start, end: result.end_)
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end

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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  sentiment_analysis: true,
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  speaker_labels: true
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)
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# ...
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transcript.sentiment_analysis_results.each do |result|
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  puts result.speaker
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end

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  summarization: true,
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  summary_model: AssemblyAI::Transcripts::SummaryModel::INFORMATIVE,
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  summary_type: AssemblyAI::Transcripts::SummaryType::BULLETS
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)
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puts transcript.summary

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require 'assemblyai'
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client = AssemblyAI::Client.new(api_key: '<YOUR_API_KEY>')
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# For local files see our Getting Started guides.
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audio_url = 'https://assembly.ai/wildfires.mp3'
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transcript = client.transcripts.transcribe(
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  audio_url: audio_url,
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  iab_categories: true
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)
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# Get the parts of the transcript that were tagged with topics
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transcript.iab_categories_result.results.each do |result|
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  puts result.text
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  printf("Timestamp: %<start>d - %<end>d\n", start: result.timestamp.start, end: result.timestamp.end_)
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  result.labels.each do |label|
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    printf("%<label>s (%<relevance>f)\n", label: label.label, relevance: label.relevance)
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  end
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  puts
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end
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puts
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# Get a summary of all topics in the transcript
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transcript.iab_categories_result.summary.each_pair do |topic, relevance|
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  printf(
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    "Audio is %<relevance>d%% relevant to %<topic>s\n",
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    relevance: relevance * 100,
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    topic: topic
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  )
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end