Update app.py

app.py

@@ -101,6 +101,25 @@ def predict_crop_parameters(crop_name):
     formatted_output = "\n".join([f"<b>{k}</b>: {v}" for k, v in predictions.items()])
     return formatted_output
 
+def predict_crop_parameters(crop_name):
+    crop_name_lower = crop_name.lower()
+    if crop_name_lower not in label_to_encoded:
+        return f"❌ '<b>{crop_name}</b>' ਲਈ ਡਾਟਾ ਨਹੀਂ ਮਿਲਿਆ।"
+
+    encoded_value = label_to_encoded[crop_name_lower]
+    input_data = [[encoded_value]]
+    
+    predictions = {}
+    for param, model_r in reverse_models.items():
+        predicted_value = model_r.predict(input_data)[0]
+        predictions[param] = round(predicted_value, 2)
+    
+    formatted_output = ""
+    for k, v in predictions.items():
+        formatted_output += f"<b>{k}</b>: {v}<br>"
+
+    return formatted_output
+