Update app.py

app.py

@@ -42,9 +42,9 @@ def predict_linear(strain, dose, soil_n, soil_p, soil_k, ph,
     if any(v is None for v in required):
         logs.append("[DEBUG] Missing numeric inputs!")
         return pd.DataFrame(), "\n⚠️ Fill all required inputs", "\n".join(logs)
-    if any(v is 0 for v in required):
-        logs.append("[DEBUG] Missing numeric inputs!")
-        return pd.DataFrame(), "\n⚠️ Fill all required inputs", "\n".join(logs)
+    # if any(v is 0 for v in required):
+    #     logs.append("[DEBUG] Missing numeric inputs!")
+    #     return pd.DataFrame(), "\n⚠️ Fill all required inputs", "\n".join(logs)
     logs.append("[DEBUG] Inputs received.")
 
     # Prepare DataFrame for model
@@ -120,11 +120,11 @@ 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)")
-            soil_n = gr.Number(label="Soil N (ppm)")
-            soil_p = gr.Number(label="Soil P (ppm)")
-            soil_k = gr.Number(label="Soil K (ppm)")
-            ph = gr.Number(label="pH")
+            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)
 
             # gr.Markdown("### Autofilled Actual Metrics (from Excel)")
             # chlorophyll = gr.Number(label="Chlorophyll (SPAD)")