cleanup podcast
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parent
06c6842f11
commit
182ae741d8
2 changed files with 45 additions and 98 deletions
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@ -2,7 +2,7 @@ from typing import ClassVar, List, Optional
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from loguru import logger
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from podcastfy.client import generate_podcast
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from pydantic import Field, field_validator
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from pydantic import Field, field_validator, model_validator
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from open_notebook.config import DATA_FOLDER
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from open_notebook.domain.notebook import ObjectModel
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@ -23,8 +23,8 @@ class PodcastConfig(ObjectModel):
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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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person1_role: List[str]
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person2_role: List[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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@ -35,10 +35,24 @@ class PodcastConfig(ObjectModel):
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wordcount: int = Field(ge=400, le=10000)
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creativity: float = Field(ge=0, le=1)
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provider: str = Field(default="openai")
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voice1: Optional[str] = None
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voice2: Optional[str] = None
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voice1: str
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voice2: str
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model: str
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# Backwards compatibility
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@field_validator("person1_role", "person2_role", mode="before")
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@classmethod
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def split_string_to_list(cls, value):
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if isinstance(value, str):
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return [item.strip() for item in value.split(",")]
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return value
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@model_validator(mode="after")
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def validate_voices(self) -> "PodcastConfig":
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if not self.voice1 or not self.voice2:
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raise ValueError("Both voice1 and voice2 must be provided")
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return self
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def generate_episode(self, episode_name, text, instructions=None):
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self.user_instructions = (
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instructions if instructions else self.user_instructions
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@ -140,13 +154,8 @@ conversation_styles = [
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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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@ -156,25 +165,15 @@ conversation_styles = [
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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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@ -191,15 +190,10 @@ dialogue_structures = [
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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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@ -207,29 +201,11 @@ dialogue_structures = [
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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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@ -265,15 +241,7 @@ participant_roles = [
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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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@ -289,49 +257,17 @@ participant_roles = [
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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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@ -82,19 +82,26 @@ with templates_tab:
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"User Instructions",
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help="Any additional intructions to pass to the LLM that will generate the transcript",
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)
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pd_cfg["person1_role"] = st.text_input("Person 1 role")
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pd_cfg["person1_role"] = st_tags(
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[], participant_roles, "Person 1 roles", key="person1_roles"
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)
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st.caption(f"Suggestions:{', '.join(participant_roles)}")
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pd_cfg["person2_role"] = st.text_input("Person 2 role")
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pd_cfg["person2_role"] = st_tags(
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[], participant_roles, "Person 2 roles", key="person2_roles"
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)
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pd_cfg["conversation_style"] = st_tags(
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[], conversation_styles, "Conversation Style"
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[], conversation_styles, "Conversation Style", key="conversation_styles"
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)
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st.caption(f"Suggestions:{', '.join(conversation_styles)}")
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pd_cfg["engagement_technique"] = st_tags(
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[], engagement_techniques, "Engagement Techniques"
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[],
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engagement_techniques,
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"Engagement Techniques",
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key="engagement_techniques",
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)
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st.caption(f"Suggestions:{', '.join(engagement_techniques)}")
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pd_cfg["dialogue_structure"] = st_tags(
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[], dialogue_structures, "Dialogue Structure"
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[], dialogue_structures, "Dialogue Structure", key="dialogue_structures"
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)
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st.caption(f"Suggestions:{', '.join(dialogue_structures)}")
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pd_cfg["wordcount"] = st.slider(
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@ -126,6 +133,8 @@ with templates_tab:
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pd_cfg["voice1"] = st.text_input(
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"Voice 1", help="You can use Elevenlabs voice ID"
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)
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st.caption("Voice names are case sensitive. Be sure to add the exact name.")
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st.markdown(
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"[Open AI voices](https://platform.openai.com/docs/guides/text-to-speech)"
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)
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@ -142,10 +151,8 @@ with templates_tab:
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pd = PodcastConfig(**pd_cfg)
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pd_cfg = {}
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pd.save()
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st.rerun()
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except Exception as e:
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st.error(e)
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st.exception(e)
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for pd_config in PodcastConfig.get_all(order_by="created desc"):
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with st.expander(pd_config.name):
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@ -174,17 +181,20 @@ with templates_tab:
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value=pd_config.output_language,
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key=f"output_language_{pd_config.id}",
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)
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pd_config.person1_role = st.text_input(
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"Person 1 role",
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value=pd_config.person1_role,
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key=f"person1_role_{pd_config.id}",
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pd_config.person1_role = st_tags(
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pd_config.person1_role,
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conversation_styles,
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"Person 1 Roles",
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key=f"person_1_roles_{pd_config.id}",
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)
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st.caption(f"Suggestions:{', '.join(participant_roles)}")
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pd_config.person2_role = st.text_input(
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"Person 2 role",
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value=pd_config.person2_role,
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key=f"person2_role_{pd_config.id}",
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pd_config.person2_role = st_tags(
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pd_config.person2_role,
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conversation_styles,
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"Person 2 Roles",
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key=f"person_2_roles_{pd_config.id}",
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)
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pd_config.conversation_style = st_tags(
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pd_config.conversation_style,
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conversation_styles,
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@ -293,6 +303,7 @@ with templates_tab:
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key=f"voice1_{pd_config.id}",
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help="You can use Elevenlabs voice ID",
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)
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st.caption("Voice names are case sensitive. Be sure to add the exact name.")
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st.markdown(
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"[Open AI voices](https://platform.openai.com/docs/guides/text-to-speech)"
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)
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