Update app.py

app.py

@@ -37,7 +37,21 @@ row_options = ["None, Enter Manually"] + [str(i) for i in range(len(df))]
 def predict_linear(strain, dose, soil_n, soil_p, soil_k, ph,
                    chlorophyll, shoot_len, root_len, shoot_wt, root_wt, yield_gp):
     logs = []
-
+    # -----------------------------
+    # 🧩 Convert textbox inputs to floats (or None if blank)
+    # -----------------------------
+    def to_float(x):
+        try:
+            return float(x)
+        except (TypeError, ValueError):
+            return None
+
+    dose = to_float(dose)
+    soil_n = to_float(soil_n)
+    soil_p = to_float(soil_p)
+    soil_k = to_float(soil_k)
+    ph = to_float(ph)
+    # -----------------------------
     required = [dose, soil_n, soil_p, soil_k, ph]
     if any(v is None for v in required):
         logs.append("[DEBUG] Missing numeric inputs!")
@@ -120,11 +134,11 @@ with gr.Blocks(
             # row_selector = gr.Dropdown(row_options, label="Select Row", value="None, Enter Manually")
 
             gr.Markdown("### Input Parameters")
-            dose = gr.Number(label="Dose (g/pot)",value = None)
-            soil_n = gr.Number(label="Soil N (ppm)",value = None)
-            soil_p = gr.Number(label="Soil P (ppm)",value = None)
-            soil_k = gr.Number(label="Soil K (ppm)",value = None)
-            ph = gr.Number(label="pH",value = None)
+            dose = gr.Number(label="Dose (g/pot)",placeholder="Enter value")
+            soil_n = gr.Number(label="Soil N (ppm)",placeholder="Enter value")
+            soil_p = gr.Number(label="Soil P (ppm)",placeholder="Enter value")
+            soil_k = gr.Number(label="Soil K (ppm)",placeholder="Enter value")
+            ph = gr.Number(label="pH",placeholder="Enter value")
 
             # gr.Markdown("### Autofilled Actual Metrics (from Excel)")
             # chlorophyll = gr.Number(label="Chlorophyll (SPAD)")