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README.md

@@ -25,10 +25,10 @@ It includes three main applications:
 
 * **Interactive Fine-Tuning:** Use a Gradio interface to select your favorite Hacker News titles and fine-tune the `google/embeddinggemma-300m` model on your preferences.
 * **Semantic Search Evaluation:** See the immediate impact of your training by comparing semantic search results before and after fine-tuning.
-* **Live "Vibe Check":** Input any news title or text to get a real-time similarity score (its "vibe") against your personalized anchor.
-* **Interactive CLI:** A terminal-based mood reader with color-coded output, scrolling, and live refresh capabilities.
-* **Hacker News Mood Reader:** View the live Hacker News feed with each story scored and color-coded based on the current model's understanding of your taste.
 * **Data & Model Management:** Easily import additional training data, export the generated dataset, and download the fine-tuned model as a ZIP file.
+* **Hacker News Similarity Check:** View the live Hacker News feed with each story scored and color-coded based on the current model's understanding of your taste.
+* **Similarity Lamp:** Input any news title or text to get a real-time similarity score (its "vibe") against your personalized anchor.
+* **Interactive CLI:** A terminal-based mood reader with color-coded output, scrolling, and live refresh capabilities.
 * **Standalone Flask App:** A lightweight, read-only web app to continuously display the scored HN feed, perfect for simple deployment.
 
 ---
@@ -170,4 +170,4 @@ Key parameters can be adjusted in `config.py`:
 └── templates/              # HTML templates for the Flask app
     ├── index.html
     └── error.html
-```
+```

app.py

@@ -480,15 +480,15 @@ def build_interface() -> gr.Blocks:
                     outputs=[push_status]
                 )
 
-        with gr.Tab("📰 Hacker News Mood Reader"):
+        with gr.Tab("📰 Hacker News Similarity Check"):
             with gr.Column():
                 gr.Markdown(f"## Live Hacker News Feed Vibe")
-                gr.Markdown(f"This feed uses the current model (base or fine-tuned) to score the vibe of live HN stories against **`{AppConfig.QUERY_ANCHOR}`**.")
+                gr.Markdown(f"This feed uses the current model (base or fine-tuned) to score the vibe of live Hacker News stories against **`{AppConfig.QUERY_ANCHOR}`**.")
                 feed_output = gr.Markdown(value="Click 'Refresh Feed' to load stories.", label="Latest Stories")
                 refresh_button = gr.Button("Refresh Feed 🔄", size="lg", variant="primary")
                 refresh_button.click(fn=mood_feed_wrapper, inputs=[session_state], outputs=feed_output)
 
-        with gr.Tab("💡 Similarity Check"):
+        with gr.Tab("💡 Similarity Lamp"):
             with gr.Column():
                 gr.Markdown(f"## News Similarity Check")
                 gr.Markdown(f"Enter text to see its similarity to **`{AppConfig.QUERY_ANCHOR}`**.\n**Vibe Key:** Green = High, Red = Low")