Update app.py

app.py

@@ -173,21 +173,11 @@ with gr.Blocks(
                 ### Input Tips:
                 - Select the **pea plant strain** you want to analyze.
                 - Provide all essential input parameters: **Dose (g/pot), Soil N, Soil P, Soil K, and pH**.
-                - (Optional) Enter actual observed values for:
-                    - **Chlorophyll (SPAD)**
-                    - **Shoot Length (cm)**
-                    - **Root Length (cm)**
-                    - **Shoot Weight (g)**
-                    - **Root Weight (g)**
-                    - **Yield (g/pot)**
-                 — these will be used to calculate absolute errors.
                 - Click **“Predict”** to generate the model’s predictions.
 
                 ### Output Tips:
                 <div>
                 <p style="margin:6px 0;"><strong>Prediction Table:</strong> Displays model predictions for all plant growth metrics.</p>
-                <p style="margin:6px 0;"><strong>Actual vs Predicted Comparison:</strong> Shows how close the model predictions are to your entered (or autofilled) values.</p>
-                <p style="margin:6px 0;"><strong>Absolute Error:</strong> Gives the difference between actual and predicted values for each metric.</p>
                 <p style="margin:6px 0;"><strong>Debug Logs:</strong> Provides detailed trace of model inputs and internal calculations.</p>
                 </div>
                 """