98 lines
3.6 KiB
Python
98 lines
3.6 KiB
Python
import streamlit as st
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from open_notebook.database.migrate import MigrationManager
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from open_notebook.graphs.chat import ThreadState, graph
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from open_notebook.models import model_manager
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from open_notebook.utils import (
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compare_versions,
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get_installed_version,
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get_version_from_github,
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)
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def version_sidebar():
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with st.sidebar:
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try:
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current_version = get_installed_version(
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"open-notebook"
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) # Note the hyphen instead of underscore
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except Exception:
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# Fallback to reading directly from pyproject.toml
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import tomli
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with open("pyproject.toml", "rb") as f:
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pyproject = tomli.load(f)
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current_version = pyproject["tool"]["poetry"]["version"]
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latest_version = get_version_from_github(
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"https://www.github.com/lfnovo/open-notebook", "main"
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)
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st.write(f"Open Notebook: {current_version}")
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if compare_versions(current_version, latest_version) < 0:
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st.warning(
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f"New version {latest_version} available. [Click here for upgrade instructions](https://github.com/lfnovo/open-notebook/blob/main/docs/SETUP.md#upgrading-open-notebook)"
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)
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def setup_stream_state(session_id) -> None:
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"""
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Sets the value of the current session_id for langgraph thread state.
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If there is no existing thread state for this session_id, it creates a new one.
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"""
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existing_state = graph.get_state({"configurable": {"thread_id": session_id}}).values
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if len(existing_state.keys()) == 0:
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st.session_state[session_id] = ThreadState(
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messages=[], context=None, notebook=None, context_config={}
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)
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else:
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st.session_state[session_id] = existing_state
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st.session_state["active_session"] = session_id
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def check_migration():
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mm = MigrationManager()
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if mm.needs_migration:
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st.warning("The Open Notebook database needs a migration to run properly.")
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if st.button("Run Migration"):
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mm.run_migration_up()
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st.success("Migration successful")
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st.rerun()
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st.stop()
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def check_models():
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default_models = model_manager.defaults
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if (
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not default_models.default_chat_model
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or not default_models.default_transformation_model
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):
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st.warning(
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"You don't have default chat and transformation models selected. Please, select them on the settings page."
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)
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st.stop()
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elif not default_models.default_embedding_model:
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st.warning(
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"You don't have a default embedding model selected. Vector search will not be possible and your assistant will be less able to answer your queries. Please, select one on the settings page."
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)
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st.stop()
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elif not default_models.default_speech_to_text_model:
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st.warning(
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"You don't have a default speech to text model selected. Your assistant will not be able to transcribe audio. Please, select one on the settings page."
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)
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st.stop()
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elif not default_models.default_text_to_speech_model:
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st.warning(
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"You don't have a default text to speech model selected. Your assistant will not be able to generate audio and podcasts. Please, select one on the settings page."
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)
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st.stop()
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elif not default_models.large_context_model:
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st.warning(
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"You don't have a large context model selected. Your assistant will not be able to process large documents. Please, select one on the settings page."
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)
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st.stop()
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def page_commons():
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version_sidebar()
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check_migration()
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check_models()
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