Update app.py

app.py

@@ -135,6 +135,32 @@ with gr.Blocks(
             )
             status_box = gr.Markdown("")
             log_box = gr.Textbox(label="Debug Logs", lines=15)
+            gr.Markdown(
+                """
+                ### Input Tips:
+                - Select the **pea plant strain** you want to analyze.
+                - You can either **select a row** from the Excel sheet to autofill values, or **enter values manually**.
+                - 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>
+                """
+            )
+
 
     # Autofill callback
     row_selector.change(