Update app.py

app.py

@@ -4,12 +4,25 @@ import joblib
 import numpy as np
 
 # Load the trained model
-try:
-    model = joblib.load("district_yield_pipeline.pkl")
-    model_loaded = True
-except:
+import os
+import joblib
+
+script_dir = os.path.dirname(os.path.abspath(__file__))
+model_path = os.path.join(script_dir, "district_yield_pipeline.pkl")
+
+# Check if file exists before trying to load
+if os.path.exists(model_path):
+    try:
+        model = joblib.load(model_path)
+        model_loaded = True
+        print("Model loaded successfully!")
+    except Exception as e:
+        model_loaded = False
+        print(f"Error loading model file: {e}")
+else:
     model_loaded = False
-    print("Warning: Model file not found. Please ensure 'district_yield_pipeline.pkl' is in the same directory.")
+    print(f"Model file not found at: {model_path}")
+    print(f"Available files: {os.listdir(script_dir)}")
 
 # Define the lists for dropdowns (based on your dataset)
 CROPS = [