Update app.py

app.py

@@ -17,6 +17,8 @@ df.columns = df.columns.str.strip()
 strain_names = df['pea plant strain'].unique().tolist()
 row_options = ["None, Enter Manually"] + [str(i) for i in range(len(df))]
 
+#-------------- To be commented --------------------
+
 # # -----------------------------
 # # 2️⃣ Autofill function
 # # -----------------------------
@@ -40,18 +42,18 @@ def predict_linear(strain, dose, soil_n, soil_p, soil_k, ph,
     # -----------------------------
     # 🧩 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)
-    # -----------------------------
+    # 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!")