Add configurable OpenSearch feature and UI improvements

- Add MIT license with Austin Godber copyright
  - Implement optional OpenSearch feature toggle via EMBEDDINGBUDDY_OPENSEARCH_ENABLED
  - Disable OpenSearch by default in production for security
  - Add development environment flag to test OpenSearch disable state
  - Update about modal to open by default with improved content
  - Reorganize text input component: move model selection below text input
  - Conditionally show/hide OpenSearch tab and callbacks based on configuration
  - Update tooltips to reflect OpenSearch availability status

src/embeddingbuddy/config/settings.py

@@ -85,6 +85,9 @@ class AppSettings:
     GUNICORN_KEEPALIVE = int(os.getenv("GUNICORN_KEEPALIVE", "5"))
 
     # OpenSearch Configuration
+    OPENSEARCH_ENABLED = (
+        os.getenv("EMBEDDINGBUDDY_OPENSEARCH_ENABLED", "True").lower() == "true"
+    )
     OPENSEARCH_DEFAULT_SIZE = 100
     OPENSEARCH_SAMPLE_SIZE = 5
     OPENSEARCH_CONNECTION_TIMEOUT = 30

src/embeddingbuddy/ui/callbacks/data_processing.py

@@ -82,19 +82,23 @@ class DataProcessingCallbacks:
         )
         def render_tab_content(active_tab):
             from ...ui.components.datasource import DataSourceComponent
+            from ...config.settings import AppSettings
 
             datasource = DataSourceComponent()
 
-            if active_tab == "opensearch-tab":
+            if active_tab == "opensearch-tab" and AppSettings.OPENSEARCH_ENABLED:
                 return [datasource.create_opensearch_tab()]
             elif active_tab == "text-input-tab":
                 return [datasource.create_text_input_tab()]
             else:
                 return [datasource.create_file_upload_tab()]
 
-        # Register callbacks for both data and prompts sections
-        self._register_opensearch_callbacks("data", self.opensearch_client_data)
-        self._register_opensearch_callbacks("prompts", self.opensearch_client_prompts)
+        # Register callbacks for both data and prompts sections (only if OpenSearch is enabled)
+        if AppSettings.OPENSEARCH_ENABLED:
+            self._register_opensearch_callbacks("data", self.opensearch_client_data)
+            self._register_opensearch_callbacks(
+                "prompts", self.opensearch_client_prompts
+            )
 
         # Register collapsible section callbacks
         self._register_collapse_callbacks()

src/embeddingbuddy/ui/components/about.py

@@ -5,9 +5,31 @@ import dash_bootstrap_components as dbc
 class AboutComponent:
     def _get_about_content(self):
         return """
-# 🔍 Interactive Embedding Visualization
+# 🔍 Interactive Embedding Vector Visualization
+
+EmbeddingBuddy is a web application for interactive exploration and
+visualization of embedding vectors through dimensionality reduction techniques
+(PCA, t-SNE, UMAP).
+
+You have two ways to get started:
+
+1. Generate embeddings directly in the browser if it supports WebGPU.
+2. Upload your NDJSON file containing embedding vectors and metadata.
+
+## Generating Embeddings in Browser
+
+1. Expand the "Generate Embeddings" section.
+2. Input your text data (one entry per line).
+    1. Optionally you can use the built in sample data by clicking "Load Sample Data" button.
+3. Click "Generate Embeddings" to create vectors using a pre-trained model.
+
+## NDJSON File Format
+
+```json
+{"id": "doc_001", "embedding": [0.1, -0.3, 0.7, ...], "text": "Sample text content", "category": "news", "subcategory": "politics", "tags": ["election", "politics"]}
+{"id": "doc_002", "embedding": [0.2, -0.1, 0.9, ...], "text": "Another example", "category": "review", "subcategory": "product", "tags": ["tech", "gadget"]}
+```
 
-EmbeddingBuddy is a modular Python Dash web application for interactive exploration and visualization of embedding vectors through dimensionality reduction techniques (PCA, t-SNE, UMAP).
 
 ## ✨ Features
 
@@ -35,7 +57,7 @@ EmbeddingBuddy is a modular Python Dash web application for interactive explorat
         return dbc.Modal(
             [
                 dbc.ModalHeader(
-                    dbc.ModalTitle("About EmbeddingBuddy"),
+                    dbc.ModalTitle("Welcome to EmbeddingBuddy"),
                     close_button=True,
                 ),
                 dbc.ModalBody(
@@ -53,7 +75,7 @@ EmbeddingBuddy is a modular Python Dash web application for interactive explorat
                 ),
             ],
             id="about-modal",
-            is_open=False,
+            is_open=True,
             size="lg",
         )
 

src/embeddingbuddy/ui/components/datasource.py

@@ -1,6 +1,7 @@
 from dash import dcc, html
 import dash_bootstrap_components as dbc
 from .upload import UploadComponent
+from embeddingbuddy.config.settings import AppSettings
 
 
 class DataSourceComponent:
@@ -9,15 +10,18 @@ class DataSourceComponent:
 
     def create_tabbed_interface(self):
         """Create tabbed interface for different data sources."""
+        tabs = [dbc.Tab(label="File Upload", tab_id="file-tab")]
+
+        # Only add OpenSearch tab if enabled
+        if AppSettings.OPENSEARCH_ENABLED:
+            tabs.append(dbc.Tab(label="OpenSearch", tab_id="opensearch-tab"))
+
         return dbc.Card(
             [
                 dbc.CardHeader(
                     [
                         dbc.Tabs(
-                            [
-                                dbc.Tab(label="File Upload", tab_id="file-tab"),
-                                dbc.Tab(label="OpenSearch", tab_id="opensearch-tab"),
-                            ],
+                            tabs,
                             id="data-source-tabs",
                             active_tab="file-tab",
                         )

src/embeddingbuddy/ui/components/sidebar.py

@@ -3,6 +3,7 @@ import dash_bootstrap_components as dbc
 from .upload import UploadComponent
 from .datasource import DataSourceComponent
 from .textinput import TextInputComponent
+from embeddingbuddy.config.settings import AppSettings
 
 
 class SidebarComponent:
@@ -102,6 +103,10 @@ class SidebarComponent:
         )
 
     def _create_data_sources_item(self):
+        tooltip_text = "Load existing embeddings: upload files"
+        if AppSettings.OPENSEARCH_ENABLED:
+            tooltip_text += " or read from OpenSearch"
+
         return dbc.AccordionItem(
             [
                 self.datasource_component.create_error_alert(),
@@ -115,7 +120,7 @@ class SidebarComponent:
                         className="fas fa-info-circle text-muted",
                         style={"cursor": "pointer"},
                         id="load-embeddings-info-icon",
-                        title="Load existing embeddings: upload files or read from OpenSearch",
+                        title=tooltip_text,
                     ),
                 ]
             ),

src/embeddingbuddy/ui/components/textinput.py

@@ -16,14 +16,14 @@ class TextInputComponent:
         """Create the complete text input interface with model selection and processing options."""
         return html.Div(
             [
-                # Model selection section
-                self._create_model_selection(),
-                html.Hr(),
                 # Text input section
                 self._create_text_input_area(),
                 # Text action buttons
                 self._create_text_action_buttons(),
                 html.Hr(),
+                # Model selection section
+                self._create_model_selection(),
+                html.Hr(),
                 # Processing options
                 self._create_processing_options(),
                 html.Hr(),