add-about #7
@@ -16,11 +16,42 @@ def create_app():
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app = dash.Dash(
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__name__,
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title="EmbeddingBuddy",
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external_stylesheets=[
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dbc.themes.BOOTSTRAP,
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"https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css",
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],
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assets_folder=assets_path,
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meta_tags=[
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{
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"name": "description",
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"content": "Interactive embedding visualization tool for exploring high-dimensional vectors through dimensionality reduction techniques like PCA, t-SNE, and UMAP."
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},
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{
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"name": "author",
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"content": "EmbeddingBuddy"
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},
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{
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"name": "keywords",
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"content": "embeddings, visualization, dimensionality reduction, PCA, t-SNE, UMAP, machine learning, data science"
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},
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{
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"name": "viewport",
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"content": "width=device-width, initial-scale=1.0"
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},
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{
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"property": "og:title",
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"content": "EmbeddingBuddy - Interactive Embedding Visualization"
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},
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{
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"property": "og:description",
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"content": "Explore and visualize embedding vectors through interactive 2D/3D plots with multiple dimensionality reduction techniques."
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},
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{
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"property": "og:type",
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"content": "website"
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}
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],
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)
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# Allow callbacks to components that are dynamically created in tabs
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@@ -7,6 +7,16 @@ class InteractionCallbacks:
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self._register_callbacks()
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def _register_callbacks(self):
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@callback(
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Output("about-modal", "is_open"),
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[Input("about-button", "n_clicks"), Input("about-modal-close", "n_clicks")],
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prevent_initial_call=True,
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)
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def toggle_about_modal(about_clicks, close_clicks):
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if about_clicks or close_clicks:
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return True if about_clicks else False
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return False
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@callback(
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[
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Output("processed-data", "data", allow_duplicate=True),
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69
src/embeddingbuddy/ui/components/about.py
Normal file
69
src/embeddingbuddy/ui/components/about.py
Normal file
@@ -0,0 +1,69 @@
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from dash import html, dcc
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import dash_bootstrap_components as dbc
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class AboutComponent:
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def _get_about_content(self):
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return """
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# 🔍 Interactive Embedding Visualization
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EmbeddingBuddy is a modular Python Dash web application for interactive exploration and visualization of embedding vectors through dimensionality reduction techniques (PCA, t-SNE, UMAP).
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## ✨ Features
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- Drag-and-drop NDJSON file upload
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- Multiple dimensionality reduction algorithms
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- 2D/3D interactive plots with Plotly
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- Color coding by categories, subcategories, or tags
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- In-browser embedding generation
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- OpenSearch integration for data loading
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## 🔧 Supported Algorithms
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- **PCA** (Principal Component Analysis)
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- **t-SNE** (t-Distributed Stochastic Neighbor Embedding)
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- **UMAP** (Uniform Manifold Approximation and Projection)
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---
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📂 [View on GitHub](https://github.com/godber/EmbeddingBuddy)
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*Built with: Python, Dash, Plotly, scikit-learn, OpenTSNE, UMAP*
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""".strip()
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def create_about_modal(self):
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return dbc.Modal(
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[
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dbc.ModalHeader(
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dbc.ModalTitle("About EmbeddingBuddy"),
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close_button=True,
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),
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dbc.ModalBody([
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dcc.Markdown(
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self._get_about_content(),
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className="mb-0"
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)
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]),
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dbc.ModalFooter([
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dbc.Button(
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"Close",
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id="about-modal-close",
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color="secondary",
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n_clicks=0
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)
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]),
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],
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id="about-modal",
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is_open=False,
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size="lg",
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)
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def create_about_button(self):
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return dbc.Button(
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[html.I(className="fas fa-info-circle me-2"), "About"],
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id="about-button",
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color="outline-info",
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size="sm",
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n_clicks=0,
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className="ms-2"
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)
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@@ -1,16 +1,19 @@
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from dash import dcc, html
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import dash_bootstrap_components as dbc
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from .components.sidebar import SidebarComponent
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from .components.about import AboutComponent
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class AppLayout:
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def __init__(self):
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self.sidebar = SidebarComponent()
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self.about = AboutComponent()
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def create_layout(self):
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return dbc.Container(
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[self._create_header(), self._create_main_content()]
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+ self._create_stores(),
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+ self._create_stores()
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+ [self.about.create_about_modal()],
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fluid=True,
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)
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@@ -19,7 +22,16 @@ class AppLayout:
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[
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dbc.Col(
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[
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html.H1("EmbeddingBuddy", className="text-center mb-4"),
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html.Div(
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[
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html.H1("EmbeddingBuddy", className="text-center mb-4 d-inline"),
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html.Div(
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[self.about.create_about_button()],
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className="float-end"
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),
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],
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className="d-flex justify-content-between align-items-center"
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),
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# Load Transformers.js from CDN
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html.Script(
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"""
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Block a user