diff --git a/README.md b/README.md index 564fbe0..7cfb8d2 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,8 @@ In a world dominated by Artificial Intelligence, having the ability to think Open Notebook empowers you to manage your research, generate AI-assisted notes, and interact with your contentβ€”on your terms. +Learn more about our project at [https://www.open-notebook.ai](https://www.open-notebook.ai) + ## βš™οΈ Setting Up Go to the [Setup Guide](docs/SETUP.md) to learn how to set up the tool in details. diff --git a/docs/TRANSFORMATIONS.md b/docs/TRANSFORMATIONS.md index 3c4dfe9..272c6cb 100644 --- a/docs/TRANSFORMATIONS.md +++ b/docs/TRANSFORMATIONS.md @@ -31,28 +31,28 @@ source_insights: - name: "Summarize" insight_type: "Content Summary" description: "Summarize the content" - transformations: + patterns: - patterns/makeitdense - patterns/summarize - name: "Key Insights" insight_type: "Key Insights" description: "Extracts a list of the Key Insights of the content" - transformations: + patterns: - patterns/keyinsights - name: "Make it Dense" insight_type: "Dense Representation" description: "Create a dense representation of the content" - transformations: + patterns: - patterns/makeitdense - name: "Analyze Paper" insight_type: "Paper Analysis" description: "Analyze the paper and provide a quick summary" - transformations: + patterns: - patterns/analyze_paper - name: "Reflection" insight_type: "Reflection Questions" description: "Generates a list of insightful questions to provoke reflection" - transformations: + patterns: - patterns/reflection_questions ``` diff --git a/open_notebook/config.py b/open_notebook/config.py index 8c0bdcd..c07ab03 100644 --- a/open_notebook/config.py +++ b/open_notebook/config.py @@ -36,18 +36,20 @@ PODCASTS_FOLDER = f"{DATA_FOLDER}/podcasts" os.makedirs(PODCASTS_FOLDER, exist_ok=True) -DEFAULT_MODELS = DefaultModels.load() - -if DEFAULT_MODELS.default_embedding_model: - EMBEDDING_MODEL = get_model( - DEFAULT_MODELS.default_embedding_model, model_type="embedding" +def load_default_models(): + default_models = DefaultModels.load() + embedding_model = ( + get_model(default_models.default_embedding_model, model_type="embedding") + if default_models.default_embedding_model + else None ) -else: - EMBEDDING_MODEL = None -if DEFAULT_MODELS.default_speech_to_text_model: - SPEECH_TO_TEXT_MODEL = get_model( - DEFAULT_MODELS.default_speech_to_text_model, model_type="speech_to_text" + speech_to_text_model = ( + get_model( + default_models.default_speech_to_text_model, model_type="speech_to_text" + ) + if default_models.default_speech_to_text_model + else None ) -else: - SPEECH_TO_TEXT_MODEL = None + + return default_models, embedding_model, speech_to_text_model diff --git a/open_notebook/domain/base.py b/open_notebook/domain/base.py index ca569e2..2aa648e 100644 --- a/open_notebook/domain/base.py +++ b/open_notebook/domain/base.py @@ -68,7 +68,9 @@ class ObjectModel(BaseModel): return None def save(self) -> None: - from open_notebook.config import EMBEDDING_MODEL + from open_notebook.config import load_default_models + + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() try: logger.debug(f"Validating {self.__class__.__name__}") diff --git a/open_notebook/domain/notebook.py b/open_notebook/domain/notebook.py index e52ad8a..d23ee04 100644 --- a/open_notebook/domain/notebook.py +++ b/open_notebook/domain/notebook.py @@ -5,7 +5,7 @@ from langchain_core.runnables.config import RunnableConfig from loguru import logger from pydantic import BaseModel, Field, field_validator -from open_notebook.config import EMBEDDING_MODEL +from open_notebook.config import load_default_models from open_notebook.database.repository import ( repo_create, repo_query, @@ -140,6 +140,8 @@ class Source(ObjectModel): raise DatabaseOperationError(e) def vectorize(self) -> None: + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + try: if not self.full_text: return @@ -189,6 +191,8 @@ class Source(ObjectModel): raise DatabaseOperationError("Failed to search sources") def add_insight(self, insight_type: str, content: str) -> Any: + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + if not insight_type or not content: raise InvalidInputError("Insight type and content must be provided") try: @@ -209,6 +213,8 @@ class Source(ObjectModel): # todo: move this to content processing pipeline as a major graph def generate_toc_and_title(self) -> "Source": + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + try: config = RunnableConfig(configurable=dict(thread_id=self.id)) result = toc_graph.invoke({"content": self.full_text}, config=config) diff --git a/open_notebook/graphs/chat.py b/open_notebook/graphs/chat.py index 88f5cb1..7735cd8 100644 --- a/open_notebook/graphs/chat.py +++ b/open_notebook/graphs/chat.py @@ -9,10 +9,12 @@ from langgraph.graph import END, START, StateGraph from langgraph.graph.message import add_messages from typing_extensions import TypedDict -from open_notebook.config import DEFAULT_MODELS, LANGGRAPH_CHECKPOINT_FILE +from open_notebook.config import LANGGRAPH_CHECKPOINT_FILE, load_default_models from open_notebook.domain.notebook import Notebook from open_notebook.graphs.utils import run_pattern +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class ThreadState(TypedDict): messages: Annotated[list, add_messages] diff --git a/open_notebook/graphs/content_processing/audio.py b/open_notebook/graphs/content_processing/audio.py index 4921403..b7c31be 100644 --- a/open_notebook/graphs/content_processing/audio.py +++ b/open_notebook/graphs/content_processing/audio.py @@ -4,7 +4,7 @@ from math import ceil from loguru import logger from pydub import AudioSegment -from open_notebook.config import SPEECH_TO_TEXT_MODEL +from open_notebook.config import load_default_models from open_notebook.graphs.content_processing.state import SourceState # future: parallelize the transcription process @@ -72,6 +72,8 @@ def split_audio(input_file, segment_length_minutes=15, output_prefix=None): def extract_audio(data: SourceState): + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + input_audio_path = data.get("file_path") audio_files = [] diff --git a/open_notebook/graphs/doc_query.py b/open_notebook/graphs/doc_query.py index 34445e7..7f0fb31 100644 --- a/open_notebook/graphs/doc_query.py +++ b/open_notebook/graphs/doc_query.py @@ -1,14 +1,15 @@ -import os - from langchain_core.runnables import ( RunnableConfig, ) from langgraph.graph import END, START, StateGraph from typing_extensions import TypedDict +from open_notebook.config import load_default_models from open_notebook.domain.notebook import Note, Notebook, Source from open_notebook.graphs.utils import run_pattern +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class DocQueryState(TypedDict): doc_id: str @@ -20,7 +21,7 @@ class DocQueryState(TypedDict): def call_model(state: dict, config: RunnableConfig) -> dict: model_id = config.get("configurable", {}).get( - "model_id", os.environ.get("RETRIEVAL_MODEL") + "model_id", DEFAULT_MODELS.default_transformation_model ) return {"answer": run_pattern("doc_query", model_id, state)} diff --git a/open_notebook/graphs/multipattern.py b/open_notebook/graphs/multipattern.py index b8fe6db..75d499a 100644 --- a/open_notebook/graphs/multipattern.py +++ b/open_notebook/graphs/multipattern.py @@ -7,9 +7,11 @@ from langchain_core.runnables import ( from langgraph.graph import END, START, StateGraph from typing_extensions import Annotated, TypedDict -from open_notebook.config import DEFAULT_MODELS +from open_notebook.config import load_default_models from open_notebook.graphs.utils import run_pattern +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class PatternChainState(TypedDict): content_stack: Annotated[Sequence[str], operator.add] diff --git a/open_notebook/graphs/pattern.py b/open_notebook/graphs/pattern.py index faf15f9..65e9858 100644 --- a/open_notebook/graphs/pattern.py +++ b/open_notebook/graphs/pattern.py @@ -4,9 +4,11 @@ from langchain_core.runnables import ( from langgraph.graph import END, START, StateGraph from typing_extensions import TypedDict -from open_notebook.config import DEFAULT_MODELS +from open_notebook.config import load_default_models from open_notebook.graphs.utils import run_pattern +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class PatternState(TypedDict): input_text: str diff --git a/open_notebook/graphs/recursive_toc.py b/open_notebook/graphs/recursive_toc.py index f52ceae..02c5326 100644 --- a/open_notebook/graphs/recursive_toc.py +++ b/open_notebook/graphs/recursive_toc.py @@ -7,10 +7,12 @@ from langchain_core.runnables import ( from langgraph.graph import END, START, StateGraph from typing_extensions import TypedDict -from open_notebook.config import DEFAULT_MODELS +from open_notebook.config import load_default_models from open_notebook.graphs.utils import run_pattern from open_notebook.utils import split_text +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class TocState(TypedDict): chunks: List[str] diff --git a/open_notebook/graphs/summary.py b/open_notebook/graphs/summary.py index 8cd0ec1..d4e0659 100644 --- a/open_notebook/graphs/summary.py +++ b/open_notebook/graphs/summary.py @@ -9,10 +9,12 @@ from langgraph.graph import END, START, StateGraph from pydantic import BaseModel from typing_extensions import TypedDict -from open_notebook.config import DEFAULT_MODELS +from open_notebook.config import load_default_models from open_notebook.graphs.utils import run_pattern from open_notebook.utils import split_text +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + class SummaryResponse(BaseModel): """This is schema of your response. Please provide a JSON object with the enclosed keys""" diff --git a/open_notebook/graphs/utils.py b/open_notebook/graphs/utils.py index cdba57a..4ed3000 100644 --- a/open_notebook/graphs/utils.py +++ b/open_notebook/graphs/utils.py @@ -1,7 +1,7 @@ from langchain.output_parsers import OutputFixingParser from loguru import logger -from open_notebook.config import DEFAULT_MODELS +from open_notebook.config import load_default_models from open_notebook.models import get_model from open_notebook.prompter import Prompter from open_notebook.utils import token_count @@ -18,7 +18,7 @@ def run_pattern( system_prompt = Prompter(prompt_template=pattern_name, parser=parser).render( data=state ) - + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() tokens = token_count(str(system_prompt) + str(messages)) model_id = ( diff --git a/pages/2_πŸ“’_Notebooks.py b/pages/2_πŸ“’_Notebooks.py index b6e5701..b0a6c07 100644 --- a/pages/2_πŸ“’_Notebooks.py +++ b/pages/2_πŸ“’_Notebooks.py @@ -1,6 +1,7 @@ import streamlit as st from humanize import naturaltime +from open_notebook.config import load_default_models from open_notebook.domain.notebook import Notebook from stream_app.chat import chat_sidebar from stream_app.note import add_note, note_card @@ -11,7 +12,6 @@ st.set_page_config( layout="wide", page_title="πŸ“’ Open Notebook", initial_sidebar_state="expanded" ) - version_sidebar() @@ -71,6 +71,9 @@ def notebook_page(current_notebook_id): sources = current_notebook.sources notes = current_notebook.notes + # Load the default models dynamically + DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + notebook_header(current_notebook) work_tab, chat_tab = st.columns([4, 2]) @@ -116,7 +119,6 @@ if st.session_state["current_notebook"]: st.title("πŸ“’ My Notebooks") st.caption("Here are all your notebooks") - notebooks = Notebook.get_all(order_by="updated desc") for notebook in notebooks: diff --git a/poetry.lock b/poetry.lock index 6151763..2732f84 100644 --- a/poetry.lock +++ b/poetry.lock @@ -329,21 +329,20 @@ lxml = ["lxml"] [[package]] name = "bleach" -version = "6.1.0" +version = "6.2.0" description = "An easy safelist-based HTML-sanitizing tool." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"}, - {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"}, + {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, + {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"}, ] [package.dependencies] -six = ">=1.9.0" webencodings = "*" [package.extras] -css = ["tinycss2 (>=1.1.0,<1.3)"] +css = ["tinycss2 (>=1.1.0,<1.5)"] [[package]] name = "blinker" @@ -849,13 +848,13 @@ dev = ["black", "isort", "mypy", "pylint"] [[package]] name = "elevenlabs" -version = "1.11.0" +version = "1.12.1" description = "" optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "elevenlabs-1.11.0-py3-none-any.whl", hash = "sha256:960fd40aa27a12fac300000d8a5c2ff5e54ef71eb63969b216fd12bb18d365d7"}, - {file = "elevenlabs-1.11.0.tar.gz", hash = "sha256:0028f8bc9218adad74b40b5610159f5004e87bc7b268af9c0a361c66a34f4d63"}, + {file = "elevenlabs-1.12.1-py3-none-any.whl", hash = "sha256:ea36fb437fd19cb7c37ed2bb690f18c2fe00b88b8619fdac882a9db9f8676aba"}, + {file = "elevenlabs-1.12.1.tar.gz", hash = "sha256:7c03526b87e14e39e25fe84dbaaa84e0a4f467b6d3bf859503ce3e3a9125d07b"}, ] [package.dependencies] @@ -880,6 +879,20 @@ files = [ {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"}, ] +[[package]] +name = "execnet" +version = "2.1.1" +description = "execnet: rapid multi-Python deployment" +optional = false +python-versions = ">=3.8" +files = [ + {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"}, + {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"}, +] + +[package.extras] +testing = ["hatch", "pre-commit", "pytest", "tox"] + [[package]] name = "executing" version = "2.1.0" @@ -1139,13 +1152,13 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4 [[package]] name = "google-api-core" -version = "2.21.0" +version = "2.22.0" description = "Google API client core library" optional = false python-versions = ">=3.7" files = [ - {file = "google_api_core-2.21.0-py3-none-any.whl", hash = "sha256:6869eacb2a37720380ba5898312af79a4d30b8bca1548fb4093e0697dc4bdf5d"}, - {file = "google_api_core-2.21.0.tar.gz", hash = "sha256:4a152fd11a9f774ea606388d423b68aa7e6d6a0ffe4c8266f74979613ec09f81"}, + {file = "google_api_core-2.22.0-py3-none-any.whl", hash = "sha256:a6652b6bd51303902494998626653671703c420f6f4c88cfd3f50ed723e9d021"}, + {file = "google_api_core-2.22.0.tar.gz", hash = "sha256:26f8d76b96477db42b55fd02a33aae4a42ec8b86b98b94969b7333a2c828bf35"}, ] [package.dependencies] @@ -1153,7 +1166,10 @@ google-auth = ">=2.14.1,<3.0.dev0" googleapis-common-protos = ">=1.56.2,<2.0.dev0" grpcio = {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""} grpcio-status = {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""} -proto-plus = ">=1.22.3,<2.0.0dev" +proto-plus = [ + {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""}, + {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""}, +] protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0" requests = ">=2.18.0,<3.0.0.dev0" @@ -1165,13 +1181,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] [[package]] name = "google-api-python-client" -version = "2.149.0" +version = "2.151.0" description = "Google API Client Library for Python" optional = false python-versions = ">=3.7" files = [ - {file = "google_api_python_client-2.149.0-py2.py3-none-any.whl", hash = "sha256:1a5232e9cfed8c201799d9327e4d44dc7ea7daa3c6e1627fca41aa201539c0da"}, - {file = "google_api_python_client-2.149.0.tar.gz", hash = "sha256:b9d68c6b14ec72580d66001bd33c5816b78e2134b93ccc5cf8f624516b561750"}, + {file = "google_api_python_client-2.151.0-py2.py3-none-any.whl", hash = "sha256:4427b2f47cd88b0355d540c2c52215f68c337f3bc9d6aae1ceeae4525977504c"}, + {file = "google_api_python_client-2.151.0.tar.gz", hash = "sha256:a9d26d630810ed4631aea21d1de3e42072f98240aaf184a8a1a874a371115034"}, ] [package.dependencies] @@ -1221,13 +1237,13 @@ httplib2 = ">=0.19.0" [[package]] name = "google-cloud-aiplatform" -version = "1.70.0" +version = "1.71.1" description = "Vertex AI API client library" optional = false python-versions = ">=3.8" files = [ - {file = "google-cloud-aiplatform-1.70.0.tar.gz", hash = "sha256:e8edef6dbc7911380d0ea55c47544e799f62b891cb1a83b504ca1c09fff9884b"}, - {file = "google_cloud_aiplatform-1.70.0-py2.py3-none-any.whl", hash = "sha256:690e6041f03d3aa85102ac3f316c958d6f43a99aefb7fb3f8938dee56d08abd9"}, + {file = "google-cloud-aiplatform-1.71.1.tar.gz", hash = "sha256:0013527e06853382ff0885898195bb7f3cf4a70eb7e5d53e4b1a28c8bd1775e2"}, + {file = "google_cloud_aiplatform-1.71.1-py2.py3-none-any.whl", hash = "sha256:4cd49bbc7f8ad88b92029a090b834ebacf9efadc844226f1e74d015d68f69ef5"}, ] [package.dependencies] @@ -1248,8 +1264,8 @@ autologging = ["mlflow (>=1.27.0,<=2.16.0)"] cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"] datasets = ["pyarrow (>=10.0.1)", "pyarrow 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b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "open-notebook" -version = "0.0.7" +version = "0.0.8" description = "An open source implementation of a research assistant, inspired by Google Notebook LM" authors = ["Luis Novo "] license = "MIT" diff --git a/stream_app/source.py b/stream_app/source.py index 798197d..63c25f8 100644 --- a/stream_app/source.py +++ b/stream_app/source.py @@ -7,7 +7,7 @@ import yaml from humanize import naturaltime from loguru import logger -from open_notebook.config import UPLOADS_FOLDER +from open_notebook.config import UPLOADS_FOLDER, load_default_models from open_notebook.domain.notebook import Asset, Source from open_notebook.exceptions import UnsupportedTypeException from open_notebook.graphs.content_processing import graph @@ -16,6 +16,8 @@ from open_notebook.utils import surreal_clean from .consts import context_icons +DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models() + def run_patterns(input_text, patterns): output = transform_graph.invoke(dict(content_stack=[input_text], patterns=patterns)) @@ -162,7 +164,7 @@ def add_source(session_id): st.stop() except Exception as e: - st.error(e) + st.exception(e) return st.rerun() diff --git a/transformations.yaml b/transformations.yaml index 531ad4c..b0d3a95 100644 --- a/transformations.yaml +++ b/transformations.yaml @@ -31,5 +31,5 @@ source_insights: # description: "Generates a list of insightful questions to provoke reflection" # patterns: # - patterns/default/reflection_questions - # - patterns/default/translate + # - patterns/user/translate