Merge pull request #8 from lfnovo/podcastfy

Podcastfy

.dockerignore

@@ -7,4 +7,6 @@ data/
 .env
 sqlite-db/
 temp/
-google-credentials.json
+google-credentials.json
+docker-compose*
+.docker_data

.env.example

@@ -14,9 +14,15 @@ OPENAI_API_KEY=
 # EXAMPLE - anthropic/claude-3-5-sonnet-20240620
 ANTHROPIC_API_KEY=
 
+
+# GEMINI
+# USE MODEL NAMES AS "gemini/<modelname>"
+# EXAMPLE - gemini/gemini-1.5-pro-002
+GEMINI_API_KEY=
+
 # VERTEXAI
 # USE MODEL NAMES AS "vertexai/<modelname>"
-# EXAMPLE - vertexai/gemini-1.5-pro-001
+# EXAMPLE - vertexai/gemini-1.5-pro-002
 VERTEX_PROJECT=my-google-cloud-project-name
 GOOGLE_APPLICATION_CREDENTIALS=./google-credentials.json
 
@@ -31,6 +37,11 @@ OLLAMA_API_BASE="http://10.20.30.20:11434"
 OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"
 OPENROUTER_API_KEY=
 
+# ELEVENLABS
+# Used only by the podcast feature
+ELEVENLABS_API_KEY=
+
+
 # USE THIS IF YOU WANT TO DEBUG THE APP ON LANGSMITH
 # LANGCHAIN_TRACING_V2=true
 # LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"

Dockerfile

@@ -4,7 +4,7 @@ FROM python:3.11.7-slim-bullseye
 # Install system dependencies required for building certain Python packages
 RUN apt-get update && apt-get install -y \
     gcc \
-    curl wget libmagic-dev \ 
+    curl wget libmagic-dev ffmpeg \ 
     && rm -rf /var/lib/apt/lists/*
 
 # Set the working directory in the container to /app
@@ -23,6 +23,8 @@ WORKDIR /app
 EXPOSE 8502
 
 RUN mkdir -p /app/sqlite-db
+RUN mkdir -p /data
+RUN mkdir -p /surrealdb-data
 
 CMD ["poetry", "run", "streamlit", "run", "app_home.py"]
 

README.md

@@ -10,17 +10,7 @@ Open Notebook empowers you to manage your research, generate AI-assisted notes,
 
 Go to the [Setup Guide](docs/SETUP.md) to learn how to set up the tool in details.
 
-But, the gist of it is: 
-
-```sh
-git clone https://github.com/lfnovo/open_notebook.git
-cd open_notebook
-cp .env.sample .env
-poetry install
-poetry run streamlit run app_home.py
-```
-
-or with Docker/Portainer:
+To setup with Docker/Portainer:
 
 ```yaml
 version: '3'
@@ -52,7 +42,6 @@ volumes:
 ```
 
 
-
 ## Usage Instructions
 
 Go to the [Usage](docs/USAGE.md) page to learn how to use all features.
@@ -68,10 +57,16 @@ Go to the [Usage](docs/USAGE.md) page to learn how to use all features.
 - **Recursive Summarization**: Tackle large content by recursively summarizing it.
 - **Integrated Search Engines**: Built-in full-text and vector search for faster information retrieval.
 - **Fine-Grained Context Management**: Choose exactly what to share with the AI to maintain control.
-- **Cost Estimation**: Estimate costs for large context processing to keep budget control in check.
+- **Podcast Generator**: Automatically convert your notes into a podcast format.
 
 ## 🚀 New Features
 
+### v0.0.4 - Podcasts  🎙️
+
+You can now build amazing custom podcasts based on your own data. Customize your speakers, episode structure, cadence, voices, etc. 
+
+Head to the [Podcasts](docs/PODCASTS.md) page for more info
+
 ### v0.0.3 - Transformations ✨
 
 We just release a much more powerful way to create more value from your sources.
@@ -114,19 +109,18 @@ Locate anything across your research with ease using full-text and vector-based
 Jinja based prompts that are easy to customize to your own preferences.
 
 
-## 🌟 Coming Soon
+## 🌟 Roadmap
 
-- **Podcast Generator**: Automatically convert your notes into a podcast format.
 - **Enhanced Citations**: Improved layout and finer control for citations.
 - **Better Embeddings & Summarization**: Smarter ways to distill information.
 - **Multiple Chat Sessions**: Juggle different discussions within the same notebook.
 - **Live Front-End Updates**: Real-time UI updates for a smoother experience.
 - **Async Processing**: Faster UI through asynchronous content processing.
-- **Improved Error Handling**: Making everything more robust.
 - **Cross-Notebook Sources and Notes**: Reuse research notes across projects.
 - **Bookmark Integration**: Integrate with your favorite bookmarking app.
 - **Multi-model support**: Open AI, Anthropic, Vertex AI, Open Router, Ollama, etc. ✅ 0.0.2
 - **Insight Generation**: New tools for creating insights - [transformations](docs/TRANSFORMATIONS.md) ✅ 0.0.3
+- **Podcast Generator**: Automatically convert your notes into a podcast format.  ✅ 0.0.4
 
 
 ## 💻 Tech Stack
@@ -134,6 +128,7 @@ Jinja based prompts that are easy to customize to your own preferences.
 - **Streamlit**: For the front-end (Looking to move out of Streamlit. Contributors welcome!).
 - **SurrealDB**: Fast, scalable database solution.
 - **Langchain/Langgraph**: The backbone for LLM interactions.
+- **Podcastfy**: For generating podcasts from your notes.
 
 
 ## 🙌 Help Wanted
@@ -151,3 +146,9 @@ Open Notebook is MIT licensed. See the [LICENSE](LICENSE) file for details.
 ---
 
 Your contributions, feature requests, and bug reports are always welcome. Let's build a research tool that respects our privacy and makes learning truly open for everyone. ✨
+
+---
+
+This project uses the following third-party libraries:
+
+- [Podcastfy](https://github.com/souzatharsis/podcastfy) - Licensed under the Apache License 2.0

app_home.py

@@ -24,4 +24,4 @@ except InvalidDatabaseSchema as e:
             st.rerun()
         except Exception as e:
             st.error(e)
-    st.stop()
+st.stop()

database/0_0_1_to_0_0_2.surrealql

@@ -76,5 +76,7 @@ DEFINE EVENT IF NOT EXISTS source_delete ON TABLE source WHEN ($after == NONE) T
     delete source_insight where source == $before.id;
 };
 
+DEFINE TABLE IF NOT EXISTS podcast_config SCHEMALESS;
+
 UPDATE open_notebook:database_info SET
     version= "0.0.2";

docker-compose.dev.yml

@@ -6,7 +6,7 @@ services:
     ports:
       - "8000:8000"
     volumes:
-      - ./surreal-data:/mydata
+      - ./.docker_data/surreal-data:/mydata
     user: "${UID}:${GID}"
     command: start --log trace --user root --pass root rocksdb:mydatabase.db
     pull_policy: always
@@ -17,6 +17,8 @@ services:
     ports:
       - "8080:8502"
     volumes:
+      - ./.docker_data/data:/app/data
       - ./docker.env:/app/.env
+      - ./google-credentials.json:/app/google-credentials.json
     depends_on:
       - surrealdb

docs/PODCASTS.md

@@ -0,0 +1,25 @@
+# Poscasts
+
+**For the audio learners**
+
+The podcast feature made Google Notebook LM famous and for a good reason. It can make your learning process 10x more enjoyable and efficient by processing a lot of insights in a way that is very easy to consume.
+
+### Define Templates
+
+Setup a template for your podcast, define the role of the speakers, the format of the podcast, and the length of each episode.
+
+![Podcast Temmplates](assets/podcast_template.png)
+
+### Pick your context
+
+Pick the context for your podcast. You can use your own notes and assets.
+
+![Context](assets/context.png)
+
+### Generate your podcast
+
+![Context](assets/podcast.png)
+
+### Manage, Listen to and Download your episodes
+
+![Context](assets/podcast_listen.png)

docs/USAGE.md

@@ -49,6 +49,14 @@ Or by turning any LLM message into a Note.
 
 ![New Notebook](assets/ai_note.png)
 
+## Generate your podcasts
+
+Once you have your content ready, start creating beautiful podcast episodes from it.
+
+![Context](assets/podcast_listen.png)
+
+See more at the [Podcasts](PODCASTS.md) section.
+
 ## Searching
 
 The search page gives you a glance of all the notes you have made and the sources you have added. You can query the database both by keyword as well as using the vector search. 

open_notebook/domain.py

@@ -40,7 +40,7 @@ class ObjectModel(BaseModel):
         except Exception as e:
             logger.error(f"Error fetching all {cls.table_name}: {str(e)}")
             logger.exception(e)
-            raise DatabaseOperationError(f"Failed to fetch all {cls.table_name}")
+            raise DatabaseOperationError(e)
 
     @classmethod
     def get(cls: Type[T], id: str) -> Optional[T]:
@@ -152,7 +152,7 @@ class Notebook(ObjectModel):
         except Exception as e:
             logger.error(f"Error fetching sources for notebook {self.id}: {str(e)}")
             logger.exception(e)
-            raise DatabaseOperationError("Failed to fetch sources for notebook")
+            raise DatabaseOperationError(e)
 
     @property
     def notes(self) -> List["Note"]:
@@ -171,7 +171,7 @@ class Notebook(ObjectModel):
         except Exception as e:
             logger.error(f"Error fetching notes for notebook {self.id}: {str(e)}")
             logger.exception(e)
-            raise DatabaseOperationError("Failed to fetch notes for notebook")
+            raise DatabaseOperationError(e)
 
 
 class Asset(BaseModel):

open_notebook/plugins/podcasts.py

@@ -0,0 +1,361 @@
+from typing import ClassVar, List, Literal
+
+from loguru import logger
+from podcastfy.client import generate_podcast
+from pydantic import Field, field_validator
+
+from open_notebook.domain import ObjectModel
+
+
+class PodcastEpisode(ObjectModel):
+    table_name: ClassVar[str] = "podcast_episode"
+    name: str
+    template: str
+    instructions: str
+    text: str
+    audio_file: str
+
+
+class PodcastConfig(ObjectModel):
+    table_name: ClassVar[str] = "podcast_config"
+    name: str
+    podcast_name: str
+    podcast_tagline: str
+    output_language: str = Field(default="English")
+    person1_role: str
+    person2_role: str
+    conversation_style: List[str]
+    engagement_technique: List[str]
+    dialogue_structure: List[str]
+    user_instructions: str
+    wordcount: int = Field(gt=500, lt=10000)
+    creativity: float = Field(ge=0, le=1)
+    provider: Literal["openai", "elevenlabs", "edge"] = Field(default="openai")
+    voice1: str
+    voice2: str
+    model: str
+
+    def generate_episode(self, episode_name, text, instructions=None):
+        self.user_instructions = (
+            instructions if instructions else self.user_instructions
+        )
+        conversation_config = {
+            "word_count": self.wordcount,
+            "conversation_style": self.conversation_style,
+            "roles_person1": self.person1_role,
+            "roles_person2": self.person2_role,
+            "dialogue_structure": self.dialogue_structure,
+            "podcast_name": self.podcast_name,
+            "podcast_tagline": self.podcast_tagline,
+            "output_language": self.output_language,
+            "user_instructions": self.user_instructions,
+            "engagement_techniques": self.engagement_technique,
+            "creativity": self.creativity,
+            "text_to_speech": {
+                # "temp_audio_dir": "./data/audio/tmp",
+                "ending_message": "Thank you for listening to this episode. Don't forget to subscribe to our podcast for more interesting conversations.",
+                "default_tts_model": self.provider,
+                self.provider: {
+                    "default_voices": {
+                        "question": self.voice1,
+                        "answer": self.voice2,
+                    },
+                    "model": self.model,
+                },
+                "audio_format": "mp3",
+            },
+        }
+
+        logger.error(conversation_config)
+        # conversation_config = {}
+        logger.debug(
+            f"Generating episode {episode_name} with config {conversation_config}"
+        )
+
+        audio_file = generate_podcast(
+            conversation_config=conversation_config, text=text, tts_model=self.provider
+        )
+        logger.warning(audio_file)
+        episode = PodcastEpisode(
+            name=episode_name,
+            template=self.name,
+            instructions=instructions,
+            text=str(text),
+            audio_file=audio_file,
+        )
+        episode.save()
+
+    @field_validator("wordcount")
+    def validate_wordcount(cls, value):
+        if not 500 <= value <= 6000:
+            raise ValueError("Wordcount must be between 500 and 10000")
+        return value
+
+    @field_validator("creativity")
+    def validate_creativity(cls, value):
+        if not 0 <= value <= 1:
+            raise ValueError("Creativity must be between 0 and 1")
+        return value
+
+
+conversation_styles = [
+    "Analytical",
+    "Argumentative",
+    "Informative",
+    "Humorous",
+    "Casual",
+    "Formal",
+    "Inspirational",
+    "Debate-style",
+    "Interview-style",
+    "Storytelling",
+    "Reflective",
+    "Narrative",
+    "Satirical",
+    "Educational",
+    "Conversational",
+    "Critical",
+    "Empathetic",
+    "Philosophical",
+    "Speculative",
+    "Motivational",
+    "Fun",
+    "Technical",
+    "Light-hearted",
+    "Serious",
+    "Investigative",
+    "Debunking",
+    "Collaborative",
+    "Didactic",
+    "Thought-provoking",
+    "Controversial",
+    "Skeptical",
+    "Optimistic",
+    "Pessimistic",
+    "Objective",
+    "Subjective",
+    "Sarcastic",
+    "Emotional",
+    "Exploratory",
+    "Friendly",
+    "Fast-paced",
+    "Slow-paced",
+    "Introspective",
+    "Open-ended",
+    "Affirmative",
+    "Dissenting",
+]
+
+# Dialogue Structures
+dialogue_structures = [
+    "Topic Introduction",
+    "Opening Monologue",
+    "Guest Introduction",
+    "Icebreakers",
+    "Historical Context",
+    "Defining Terms",
+    "Problem Statement",
+    "Overview of the Issue",
+    "Deep Dive into Subtopics",
+    "Pro Arguments",
+    "Con Arguments",
+    "Cross-examination",
+    "Rebuttal",
+    "Expert Interviews",
+    "Panel Discussion",
+    "Case Studies",
+    "Myth Busting",
+    "Debunking Misconceptions",
+    "Audience Questions",
+    "Q&A Session",
+    "Listener Feedback",
+    "Rapid-fire Questions",
+    "Summary of Key Points",
+    "Recap",
+    "Key Takeaways",
+    "Actionable Tips",
+    "Call to Action",
+    "Future Outlook",
+    "Teaser for Next Episode",
+    "Closing Remarks",
+    "Thank You and Credits",
+    "Outtakes or Bloopers",
+    "Sponsor Messages",
+    "Social Media Shout-outs",
+    "Resource Recommendations",
+    "Feedback Request",
+    "Lightning Round",
+    "Behind-the-Scenes Insights",
+    "Ethical Considerations",
+    "Fact-checking Segment",
+    "Trending Topics",
+    "Closing Inspirational Quote",
+    "Final Reflections",
+    "Debrief",
+    "Farewell Messages",
+    "Next Episode Preview",
+    "Live Reactions",
+    "Call-in Segment",
+    "Acknowledgements",
+    "Transition Segments",
+    "Break Segments",
+]
+
+# Podcast Participant Roles
+participant_roles = [
+    "Main Summarizer",
+    "Questioner/Clarifier",
+    "Optimist",
+    "Skeptic",
+    "Specialist",
+    "Thesis Presenter",
+    "Counterargument Provider",
+    "Professor",
+    "Student",
+    "Moderator",
+    "Host",
+    "Co-host",
+    "Expert Guest",
+    "Novice",
+    "Devil's Advocate",
+    "Analyst",
+    "Storyteller",
+    "Fact-checker",
+    "Comedian",
+    "Interviewer",
+    "Interviewee",
+    "Historian",
+    "Visionary",
+    "Strategist",
+    "Critic",
+    "Enthusiast",
+    "Mediator",
+    "Commentator",
+    "Researcher",
+    "Reporter",
+    "Advocate",
+    "Influencer",
+    "Observer",
+    "Listener",
+    "Facilitator",
+    "Innovator",
+    "Debater",
+    "Educator",
+    "Motivator",
+    "Narrator",
+    "Explorer",
+    "Opponent",
+    "Proponent",
+    "Philosopher",
+    "Engineer",
+    "Doctor",
+    "Psychologist",
+    "Economist",
+    "Politician",
+    "Scientist",
+    "Entrepreneur",
+    "Artist",
+    "Author",
+    "Journalist",
+    "Activist",
+    "Challenger",
+    "Supporter",
+    "Mentor",
+    "Mentee",
+    "Panelist",
+    "Audience Representative",
+    "Case Study Presenter",
+    "Data Analyst",
+    "Ethicist",
+    "Cultural Critic",
+    "Technologist",
+    "Environmentalist",
+    "Legal Expert",
+    "Healthcare Professional",
+    "Financial Advisor",
+    "Policy Maker",
+    "Sociologist",
+    "Anthropologist",
+    "Myth Buster",
+    "Trend Analyst",
+    "Futurist",
+    "Negotiator",
+    "Community Leader",
+    "Voice of Reason",
+    "Conflict Resolver",
+    "Emotional Support",
+    "Pragmatist",
+    "Idealist",
+    "Realist",
+    "Satirist",
+    "Story Analyst",
+    "Language Expert",
+    "Historical Witness",
+    "Survivor",
+    "Inspirational Figure",
+    "Cultural Ambassador",
+    "Digital Nomad",
+    "Remote Correspondent",
+    "Field Reporter",
+    "Data Scientist",
+    "Gamer",
+    "Musician",
+    "Filmmaker",
+]
+
+# Engagement Techniques
+engagement_techniques = [
+    "Rhetorical Questions",
+    "Anecdotes",
+    "Analogies",
+    "Humor",
+    "Metaphors",
+    "Storytelling",
+    "Quizzes",
+    "Polls",
+    "Contests/Giveaways",
+    "Guest Appearances",
+    "Sound Effects",
+    "Music Interludes",
+    "Shout-outs",
+    "Interactive Challenges",
+    "Personal Testimonials",
+    "Quotes",
+    "Jokes",
+    "Surprise Elements",
+    "Emotional Appeals",
+    "Provocative Statements",
+    "Irony",
+    "Sarcasm",
+    "Alliteration",
+    "Repetition",
+    "Foreshadowing",
+    "Cliffhangers",
+    "Audience Participation",
+    "Sensory Descriptions",
+    "Visual Aids (if applicable)",
+    "Callbacks to Earlier Points",
+    "Pop Culture References",
+    "Hyperbole",
+    "Parables",
+    "Thought Experiments",
+    "Puzzles and Riddles",
+    "Role-playing",
+    "Mock Scenarios",
+    "Debates",
+    "Sound Bites",
+    "Catchphrases",
+    "Voice Modulation",
+    "Interactive Games",
+    "Live Demos",
+    "Behind-the-Scenes Insights",
+    "Vivid Imagery",
+    "Statistics and Facts",
+    "Open-ended Questions",
+    "Challenges to Assumptions",
+    "Evoking Curiosity",
+    "Memes (if visual components are included)",
+    "Surveys",
+    "Testimonials",
+    "Provocations",
+]

pages/5_🎙️_Podcasts.py

@@ -0,0 +1,192 @@
+import streamlit as st
+from streamlit_tags import st_tags
+
+from open_notebook.plugins.podcasts import (
+    PodcastConfig,
+    PodcastEpisode,
+    conversation_styles,
+    dialogue_structures,
+    engagement_techniques,
+    participant_roles,
+)
+
+episodes_tab, templates_tab = st.tabs(["Episodes", "Templates"])
+
+with episodes_tab:
+    episodes = PodcastEpisode.get_all()
+    for episode in episodes:
+        with st.container(border=True):
+            episode_name = episode.name if episode.name else "No Name"
+            st.markdown(f"**{episode.template} - {episode_name}**")
+            # st.caption(naturaltime(episode.created))
+            st.write(f"Instructions: {episode.instructions}")
+            try:
+                st.audio(episode.audio_file, format="audio/mpeg", loop=True)
+            except Exception as e:
+                st.write("No audio file found")
+                st.error(e)
+            with st.expander("Source Content"):
+                st.code(episode.text)
+            if st.button("Delete Episode", key=f"btn_delete{episode.id}"):
+                episode.delete()
+                st.rerun()
+    if len(episodes) == 0:
+        st.write("No episodes yet")
+with templates_tab:
+    st.subheader("Podcast Templates")
+    st.markdown("")
+    with st.expander("**Create new Template**"):
+        pd_cfg = {}
+        pd_cfg["name"] = st.text_input("Template Name")
+        pd_cfg["podcast_name"] = st.text_input("Podcast Name")
+        pd_cfg["podcast_tagline"] = st.text_input("Podcast Tagline")
+        pd_cfg["output_language"] = st.text_input("Language", value="English")
+        pd_cfg["user_instructions"] = st.text_input(
+            "User Instructions",
+            help="Any additional intructions to pass to the LLM that will generate the transcript",
+        )
+        pd_cfg["person1_role"] = st.text_input("Person 1 role")
+        st.caption(f"Suggestions:{', '.join(participant_roles)}")
+        pd_cfg["person2_role"] = st.text_input("Person 2 role")
+        pd_cfg["conversation_style"] = st_tags(
+            ["a"], conversation_styles, "Conversation Style"
+        )
+        st.caption(f"Suggestions:{', '.join(conversation_styles)}")
+        pd_cfg["engagement_technique"] = st_tags(
+            [], engagement_techniques, "Engagement Techniques"
+        )
+        st.caption(f"Suggestions:{', '.join(engagement_techniques)}")
+        pd_cfg["dialogue_structure"] = st_tags(
+            [], dialogue_structures, "Dialogue Structure"
+        )
+        st.caption(f"Suggestions:{', '.join(dialogue_structures)}")
+        pd_cfg["wordcount"] = st.slider(
+            "Word Count", min_value=400, max_value=6000, step=50
+        )
+        pd_cfg["creativity"] = st.slider(
+            "Creativity", min_value=0.0, max_value=1.0, step=0.05
+        )
+        pd_cfg["provider"] = st.selectbox("Provider", ["openai", "elevenlabs", "edge"])
+        pd_cfg["voice1"] = st.text_input(
+            "Voice 1", help="You can use Elevenlabs voice ID"
+        )
+        pd_cfg["voice2"] = st.text_input(
+            "Voice 2", help="You can use Elevenlabs voice ID"
+        )
+        pd_cfg["model"] = st.text_input("Model")
+        if st.button("Save"):
+            pd = PodcastConfig(**pd_cfg)
+            pd_cfg = {}
+            pd.save()
+            st.rerun()
+
+    for pd_config in PodcastConfig.get_all():
+        with st.expander(pd_config.name):
+            pd_config.name = st.text_input(
+                "Template Name", value=pd_config.name, key=f"name_{pd_config.id}"
+            )
+            pd_config.podcast_name = st.text_input(
+                "Podcast Name",
+                value=pd_config.podcast_name,
+                key=f"podcast_name_{pd_config.id}",
+            )
+            pd_config.podcast_tagline = st.text_input(
+                "Podcast Tagline",
+                value=pd_config.podcast_tagline,
+                key=f"podcast_tagline_{pd_config.id}",
+            )
+            pd_config.user_instructions = st.text_input(
+                "User Instructions",
+                value=pd_config.user_instructions,
+                help="Any additional intructions to pass to the LLM that will generate the transcript",
+                key=f"user_instructions_{pd_config.id}",
+            )
+
+            pd_config.output_language = st.text_input(
+                "Language",
+                value=pd_config.output_language,
+                key=f"output_language_{pd_config.id}",
+            )
+            pd_config.person1_role = st.text_input(
+                "Person 1 role",
+                value=pd_config.person1_role,
+                key=f"person1_role_{pd_config.id}",
+            )
+            st.caption(f"Suggestions:{', '.join(participant_roles)}")
+            pd_config.person2_role = st.text_input(
+                "Person 2 role",
+                value=pd_config.person2_role,
+                key=f"person2_role_{pd_config.id}",
+            )
+            pd_config.conversation_style = st_tags(
+                pd_config.conversation_style,
+                conversation_styles,
+                "Conversation Style",
+                key=f"conversation_style_{pd_config.id}",
+            )
+            st.caption(f"Suggestions:{', '.join(conversation_styles)}")
+            pd_config.engagement_technique = st_tags(
+                pd_config.engagement_technique,
+                engagement_techniques,
+                "Engagement Techniques",
+                key=f"engagement_technique_{pd_config.id}",
+            )
+            st.caption(f"Suggestions:{', '.join(engagement_techniques)}")
+            pd_config.dialogue_structure = st_tags(
+                pd_config.dialogue_structure,
+                dialogue_structures,
+                "Dialogue Structure",
+                key=f"dialogue_structure_{pd_config.id}",
+            )
+            st.caption(f"Suggestions:{', '.join(dialogue_structures)}")
+            pd_config.wordcount = st.slider(
+                "Word Count",
+                min_value=400,
+                max_value=6000,
+                step=50,
+                value=pd_config.wordcount,
+                key=f"wordcount_{pd_config.id}",
+            )
+            pd_config.creativity = st.slider(
+                "Creativity",
+                min_value=0.0,
+                max_value=1.0,
+                step=0.05,
+                value=pd_config.creativity,
+                key=f"creativity_{pd_config.id}",
+            )
+            pd_config.provider = st.selectbox(
+                "Provider",
+                ["openai", "elevenlabs", "edge"],
+                index=["openai", "elevenlabs", "edge"].index(pd_config.provider),
+                key=f"provider_{pd_config.id}",
+            )
+            pd_config.voice1 = st.text_input(
+                "Voice 1",
+                value=pd_config.voice1,
+                key=f"voice1_{pd_config.id}",
+                help="You can use Elevenlabs voice ID",
+            )
+            pd_config.voice2 = st.text_input(
+                "Voice 2",
+                value=pd_config.voice2,
+                key=f"voice2_{pd_config.id}",
+                help="You can use Elevenlabs voice ID",
+            )
+            pd_config.model = st.text_input(
+                "Model", value=pd_config.model, key=f"model_{pd_config.id}"
+            )
+
+            if st.button("Save Config", key=f"btn_save{pd_config.id}"):
+                pd_config.save()
+                st.rerun()
+
+            if st.button("Duplicate Config", key=f"btn_duplicate{pd_config.id}"):
+                pd_config.name = f"{pd_config.name} - Copy"
+                pd_config.id = None
+                pd_config.save()
+                st.rerun()
+
+            if st.button("Delete Config", key=f"btn_delete{pd_config.id}"):
+                pd_config.delete()
+                st.rerun()

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "open-notebook"
-version = "0.0.3"
+version = "0.0.4"
 description = "An open source implementation of a research assistant, inspired by Google Notebook LM"
 authors = ["Luis Novo <lfnovo@gmail.com>"]
 license = "MIT"
@@ -39,6 +39,7 @@ langchain-anthropic = "^0.2.3"
 langchain-ollama = "^0.2.0"
 langchain-google-vertexai = "^2.0.5"
 sdblpy = "^0.3.0"
+podcastfy = "^0.2.8"
 
 [tool.poetry.group.dev.dependencies]
 ipykernel = "^6.29.5"

stream_app/chat.py

@@ -3,6 +3,7 @@ from langchain_core.runnables import RunnableConfig
 
 from open_notebook.domain import Note, Source
 from open_notebook.graphs.chat import graph as chat_graph
+from open_notebook.plugins.podcasts import PodcastConfig
 from open_notebook.utils import token_count
 from stream_app.note import make_note_from_chat
 
@@ -58,26 +59,55 @@ def execute_chat(txt_input, session_id):
 def chat_sidebar(session_id):
     context = build_context(session_id=session_id)
     tokens = token_count(str(context) + str(st.session_state[session_id]["messages"]))
-    with st.container(border=True):
-        request = st.chat_input("Enter your question")
-        # removing for now since it's not multi-model capable right now
-        st.caption(f"Total tokens: {tokens}")
-        if request:
-            response = execute_chat(txt_input=request, session_id=session_id)
-            st.session_state[session_id]["messages"] = response["messages"]
-
-        for msg in st.session_state[session_id]["messages"][::-1]:
-            if msg.type not in ["human", "ai"]:
-                continue
-            if not msg.content:
-                continue
-
-            with st.chat_message(name=msg.type):
-                st.write(msg.content)
-                if msg.type == "ai":
-                    if st.button("💾 New Note", key=f"render_save_{msg.id}"):
-                        make_note_from_chat(
-                            content=msg.content,
-                            notebook_id=st.session_state[session_id]["notebook"].id,
+    chat_tab, podcast_tab = st.tabs(["Chat", "Podcast"])
+    with st.expander(f"Context ({tokens} tokens), {len(str(context))} chars"):
+        st.json(context)
+    with podcast_tab:
+        with st.container(border=True):
+            podcast_configs = PodcastConfig.get_all()
+            podcast_config_names = [pd.name for pd in podcast_configs]
+            if len(podcast_configs) == 0:
+                st.warning("No podcast configurations found")
+            else:
+                template = st.selectbox("Pick a template", podcast_config_names)
+                selected_template = next(
+                    filter(lambda x: x.name == template, podcast_configs)
+                )
+                episode_name = st.text_input("Episode Name")
+                instructions = st.text_area(
+                    "Instructions", value=selected_template.user_instructions
+                )
+                if st.button("Generate"):
+                    with st.spinner("Go grab a coffee, almost here..."):
+                        selected_template.generate_episode(
+                            episode_name=episode_name,
+                            text=context,
+                            instructions=instructions,
                         )
-                        st.rerun()
+                    st.success("Episode generated successfully")
+            st.page_link("pages/5_🎙️_Podcasts.py", label="Go to Podcasts")
+            st.divider()
+    with chat_tab:
+        with st.container(border=True):
+            request = st.chat_input("Enter your question")
+            # removing for now since it's not multi-model capable right now
+            st.caption(f"Total tokens: {tokens}")
+            if request:
+                response = execute_chat(txt_input=request, session_id=session_id)
+                st.session_state[session_id]["messages"] = response["messages"]
+
+            for msg in st.session_state[session_id]["messages"][::-1]:
+                if msg.type not in ["human", "ai"]:
+                    continue
+                if not msg.content:
+                    continue
+
+                with st.chat_message(name=msg.type):
+                    st.write(msg.content)
+                    if msg.type == "ai":
+                        if st.button("💾 New Note", key=f"render_save_{msg.id}"):
+                            make_note_from_chat(
+                                content=msg.content,
+                                notebook_id=st.session_state[session_id]["notebook"].id,
+                            )
+                            st.rerun()