Update app.py

app.py

@@ -30,6 +30,20 @@ df = pd.read_excel(EXCEL_PATH)
 strain_names = df['Microalgae_Strain'].unique().tolist()
 single_strain_value = 0  # training used LabelEncoder -> 0
 
+# ==================== New Integration ====================
+# Create a list of row indices for dropdown
+row_options = [str(i) for i in range(len(df))]
+
+# Function to autofill input fields from selected row
+def autofill_fields(row_index):
+    row = df.iloc[int(row_index)]
+    return (
+        row['Soil_N_ppm'], row['Soil_P_ppm'], row['Soil_K_ppm'],
+        row['Soil_EC_dS_m'], row['Soil_Moisture_%'], row['Chlorophyll_SPAD'],
+        row['Shoot_Length_cm'], row['Root_Length_cm'], row['Yield_g_per_pot'],
+        row['Relative_Yield_%'], row['Dose_g_per_pot'] if 'Dose_g_per_pot' in row else None
+    )
+
 # -----------------------------
 # 3️⃣ Prediction function
 # -----------------------------
@@ -105,6 +119,7 @@ with gr.Blocks(
             gr.Markdown("### Crop & Microalgae Selection")
             crop = gr.Dropdown(["Corn"], label="Select Crop", value="Corn")
             strain = gr.Dropdown(strain_names, label="Microalgae Strain", value=strain_names[0])
+            row_selector = gr.Dropdown(row_options, label="Select Row (from XLSX)", value="0")
             gr.Markdown("### Soil Parameters")
             soil_n = gr.Number(label="Soil N (ppm)")
             soil_p = gr.Number(label="Soil P (ppm)")
@@ -142,6 +157,13 @@ with gr.Blocks(
                 </div>
                 """
             )
+                # ✅ Autofill fields when row selected
+            row_selector.change(fn=autofill_fields,
+                inputs=[row_selector],
+                outputs=[soil_n, soil_p, soil_k, soil_ec, soil_moisture,
+                         chlorophyll, shoot_length, root_length, yield_g,
+                         relative_yield, actual_dose]
+                       )
             predict_btn.click(
                 fn=predict_dose,
                 inputs=[crop, strain, soil_n, soil_p, soil_k, soil_ec, soil_moisture,