mirror of
https://github.com/lfnovo/open-notebook.git
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84 lines
3.3 KiB
Python
84 lines
3.3 KiB
Python
import streamlit as st
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import streamlit_scrollable_textbox as stx # type: ignore
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import yaml
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from humanize import naturaltime
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from open_notebook.domain.notebook import Source
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from open_notebook.utils import surreal_clean
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from pages.stream_app.utils import run_patterns
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def source_panel(source_id: str, modal=False):
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source: Source = Source.get(source_id)
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if not source:
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raise ValueError(f"Source not found: {source_id}")
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current_title = source.title if source.title else "No Title"
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source.title = st.text_input("Title", value=current_title)
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if source.title != current_title:
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st.toast("Saved new Title")
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source.save()
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process_tab, source_tab = st.tabs(["Process", "Source"])
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with process_tab:
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c1, c2 = st.columns([3, 1])
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with c1:
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title = st.empty()
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if source.title:
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title.subheader(source.title)
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if source.asset and source.asset.url:
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from_src = f"from URL: {source.asset.url}"
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elif source.asset and source.asset.file_path:
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from_src = f"from file: {source.asset.file_path}"
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else:
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from_src = "from text"
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st.caption(f"Created {naturaltime(source.created)}, {from_src}")
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for insight in source.insights:
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with st.expander(f"**{insight.insight_type}**"):
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st.markdown(insight.content)
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if st.button(
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"Delete", type="primary", key=f"delete_insight_{insight.id}"
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):
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insight.delete()
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st.rerun(scope="fragment" if modal else "app")
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with c2:
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with open("transformations.yaml", "r") as file:
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transformations = yaml.safe_load(file)
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for transformation in transformations["source_insights"]:
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if st.button(
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transformation["name"], help=transformation["description"]
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):
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result = run_patterns(
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source.full_text, transformation["patterns"]
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)
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source.add_insight(
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transformation["insight_type"], surreal_clean(result)
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)
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st.rerun(scope="fragment" if modal else "app")
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if st.button(
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"Embed vectors",
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icon="🦾",
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disabled=source.embedded_chunks > 0,
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help="This will generate your embedding vectors on the database for powerful search capabilities",
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):
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source.vectorize()
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st.success("Embedding complete")
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chk_delete = st.checkbox(
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"🗑️ Delete source", key=f"delete_source_{source.id}", value=False
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)
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if chk_delete:
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st.warning(
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"Source will be deleted with all its insights and embeddings"
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)
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if st.button(
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"Delete", type="primary", key=f"bt_delete_source_{source.id}"
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):
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source.delete()
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st.rerun()
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with source_tab:
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st.subheader("Content")
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stx.scrollableTextbox(source.full_text, height=300)
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