Update app.py

app.py

@@ -298,7 +298,7 @@ with torch.no_grad():
     train_acc = (train_preds == torch.tensor(y_train_raw)).float().mean().item()
 
 with gr.Blocks() as demo:
-    gr.Markdown("# 🧪 Dataset Description")
+    gr.Markdown("# 🧪 SPECTROSCOPY - YOUR HEALTH OUR CONCERN!!!")
 
     with gr.Tabs():
         with gr.Tab("Preview Raw Data"):
@@ -309,6 +309,18 @@ with gr.Blocks() as demo:
             out_gallery = [gr.Plot() for _ in range(8)]
             plot_button.click(fn=plot_all, inputs=[], outputs=out_gallery)
 
+        with gr.Tab("Random Forest"):
+            gr.Image(value="rf.png", label="Random Forest Output")
+
+        with gr.Tab("Decision Tree"):
+            gr.Markdown("**Confusion Matrix**")
+            gr.Image(value="tree_cm.png", label="Confusion Matrix")
+            gr.Markdown("**Decision Tree Visualization**")
+            gr.Image(value="tree.png", label="Tree Structure")
+            
+
+        with gr.Tab("1D CNN (Raw Data)"):
+            gr.Image(value="1d.png", label="1D CNN Output")
         with gr.Tab("Takeaways"):
             gr.Markdown("## 🌾 Spectroscopy: Transforming the Dairy Sector")
             gr.Markdown("""
@@ -333,20 +345,6 @@ with gr.Blocks() as demo:
 > “Milk is nature’s first food – and it should remain pure. Spectroscopy empowers us to ensure it stays that way.”  
 Stay curious. Stay healthy.
 """)
-
-        with gr.Tab("Random Forest"):
-            gr.Image(value="rf.png", label="Random Forest Output")
-
-        with gr.Tab("Decision Tree"):
-            gr.Markdown("**Confusion Matrix**")
-            gr.Image(value="tree_cm.png", label="Confusion Matrix")
-            gr.Markdown("**Decision Tree Visualization**")
-            gr.Image(value="tree.png", label="Tree Structure")
-            
-
-        with gr.Tab("1D CNN (Raw Data)"):
-            gr.Image(value="1d.png", label="1D CNN Output")
-
     demo.launch(server_name="0.0.0.0", server_port=7860, ssr_mode=False)