307 lines
6.5 KiB
Python
307 lines
6.5 KiB
Python
from typing import ClassVar, List, Literal
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from pydantic import Field, field_validator
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from open_notebook.domain import ObjectModel
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class PodcastEpisode(ObjectModel):
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table_name: ClassVar[str] = "podcast_episode"
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name: str
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template: str
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instructions: str
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file_path: str
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class PodcastConfig(ObjectModel):
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table_name: ClassVar[str] = "podcast_config"
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name: str
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podcast_name: str
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podcast_tagline: str
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output_language: str = Field(default="English")
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person1_role: str
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person2_role: str
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conversation_style: List[str]
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engagement_technique: List[str]
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dialogue_structure: List[str]
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wordcount: int = Field(gt=500, lt=10000)
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creativity: float = Field(ge=0, le=1)
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provider: Literal["openai", "elevenlabs", "edge"] = Field(default="openai")
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voice1: str
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voice2: str
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model: str
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@field_validator("wordcount")
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def validate_wordcount(cls, value):
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if not 500 <= value <= 6000:
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raise ValueError("Wordcount must be between 500 and 10000")
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return value
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@field_validator("creativity")
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def validate_creativity(cls, value):
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if not 0 <= value <= 1:
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raise ValueError("Creativity must be between 0 and 1")
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return value
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conversation_styles = [
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"Analytical",
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"Argumentative",
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"Informative",
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"Humorous",
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"Casual",
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"Formal",
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"Inspirational",
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"Debate-style",
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"Interview-style",
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"Storytelling",
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"Reflective",
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"Narrative",
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"Satirical",
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"Educational",
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"Conversational",
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"Critical",
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"Empathetic",
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"Philosophical",
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"Speculative",
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"Motivational",
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"Fun",
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"Technical",
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"Light-hearted",
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"Serious",
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"Investigative",
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"Debunking",
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"Collaborative",
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"Didactic",
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"Thought-provoking",
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"Controversial",
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"Skeptical",
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"Optimistic",
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"Pessimistic",
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"Objective",
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"Subjective",
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"Sarcastic",
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"Emotional",
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"Exploratory",
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"Friendly",
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"Fast-paced",
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"Slow-paced",
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"Introspective",
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"Open-ended",
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"Affirmative",
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"Dissenting",
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]
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# Dialogue Structures
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dialogue_structures = [
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"Topic Introduction",
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"Opening Monologue",
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"Guest Introduction",
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"Icebreakers",
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"Historical Context",
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"Defining Terms",
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"Problem Statement",
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"Overview of the Issue",
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"Deep Dive into Subtopics",
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"Pro Arguments",
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"Con Arguments",
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"Cross-examination",
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"Rebuttal",
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"Expert Interviews",
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"Panel Discussion",
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"Case Studies",
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"Myth Busting",
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"Debunking Misconceptions",
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"Audience Questions",
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"Q&A Session",
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"Listener Feedback",
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"Rapid-fire Questions",
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"Summary of Key Points",
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"Recap",
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"Key Takeaways",
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"Actionable Tips",
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"Call to Action",
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"Future Outlook",
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"Teaser for Next Episode",
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"Closing Remarks",
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"Thank You and Credits",
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"Outtakes or Bloopers",
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"Sponsor Messages",
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"Social Media Shout-outs",
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"Resource Recommendations",
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"Feedback Request",
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"Lightning Round",
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"Behind-the-Scenes Insights",
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"Ethical Considerations",
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"Fact-checking Segment",
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"Trending Topics",
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"Closing Inspirational Quote",
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"Final Reflections",
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"Debrief",
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"Farewell Messages",
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"Next Episode Preview",
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"Live Reactions",
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"Call-in Segment",
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"Acknowledgements",
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"Transition Segments",
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"Break Segments",
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]
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# Podcast Participant Roles
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participant_roles = [
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"Main Summarizer",
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"Questioner/Clarifier",
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"Optimist",
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"Skeptic",
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"Specialist",
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"Thesis Presenter",
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"Counterargument Provider",
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"Professor",
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"Student",
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"Moderator",
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"Host",
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"Co-host",
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"Expert Guest",
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"Novice",
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"Devil's Advocate",
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"Analyst",
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"Storyteller",
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"Fact-checker",
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"Comedian",
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"Interviewer",
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"Interviewee",
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"Historian",
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"Visionary",
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"Strategist",
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"Critic",
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"Enthusiast",
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"Mediator",
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"Commentator",
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"Researcher",
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"Reporter",
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"Advocate",
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"Influencer",
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"Observer",
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"Listener",
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"Facilitator",
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"Innovator",
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"Debater",
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"Educator",
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"Motivator",
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"Narrator",
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"Explorer",
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"Opponent",
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"Proponent",
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"Philosopher",
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"Engineer",
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"Doctor",
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"Psychologist",
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"Economist",
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"Politician",
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"Scientist",
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"Entrepreneur",
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"Artist",
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"Author",
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"Journalist",
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"Activist",
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"Challenger",
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"Supporter",
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"Mentor",
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"Mentee",
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"Panelist",
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"Audience Representative",
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"Case Study Presenter",
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"Data Analyst",
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"Ethicist",
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"Cultural Critic",
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"Technologist",
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"Environmentalist",
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"Legal Expert",
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"Healthcare Professional",
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"Financial Advisor",
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"Policy Maker",
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"Sociologist",
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"Anthropologist",
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"Myth Buster",
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"Trend Analyst",
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"Futurist",
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"Negotiator",
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"Community Leader",
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"Voice of Reason",
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"Conflict Resolver",
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"Emotional Support",
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"Pragmatist",
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"Idealist",
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"Realist",
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"Satirist",
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"Story Analyst",
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"Language Expert",
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"Historical Witness",
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"Survivor",
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"Inspirational Figure",
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"Cultural Ambassador",
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"Digital Nomad",
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"Remote Correspondent",
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"Field Reporter",
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"Data Scientist",
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"Gamer",
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"Musician",
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"Filmmaker",
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]
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# Engagement Techniques
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engagement_techniques = [
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"Rhetorical Questions",
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"Anecdotes",
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"Analogies",
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"Humor",
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"Metaphors",
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"Storytelling",
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"Quizzes",
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"Polls",
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"Contests/Giveaways",
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"Guest Appearances",
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"Sound Effects",
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"Music Interludes",
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"Shout-outs",
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"Interactive Challenges",
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"Personal Testimonials",
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"Quotes",
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"Jokes",
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"Surprise Elements",
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"Emotional Appeals",
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"Provocative Statements",
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"Irony",
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"Sarcasm",
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"Alliteration",
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"Repetition",
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"Foreshadowing",
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"Cliffhangers",
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"Audience Participation",
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"Sensory Descriptions",
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"Visual Aids (if applicable)",
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"Callbacks to Earlier Points",
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"Pop Culture References",
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"Hyperbole",
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"Parables",
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"Thought Experiments",
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"Puzzles and Riddles",
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"Role-playing",
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"Mock Scenarios",
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"Debates",
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"Sound Bites",
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"Catchphrases",
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"Voice Modulation",
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"Interactive Games",
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"Live Demos",
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"Behind-the-Scenes Insights",
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"Vivid Imagery",
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"Statistics and Facts",
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"Open-ended Questions",
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"Challenges to Assumptions",
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"Evoking Curiosity",
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"Memes (if visual components are included)",
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"Surveys",
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"Testimonials",
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"Provocations",
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]
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