Update app.py

app.py

@@ -3,10 +3,13 @@ import numpy as np
 import gradio as gr
 from xgboost import XGBRegressor
 
-EXCEL_PATH = "microalgae_pot_experiment_corrected_doses.xlsx"
-MODEL_PATH = "EcoGrowAI_yield_model.json"
-
 df = pd.read_excel(EXCEL_PATH)
+
+# Apply the same encoding used during training
+for col in ["Crop", "Microalgae_Strain"]:
+    le = LabelEncoder()
+    df[col] = le.fit_transform(df[col])
+
 drop_cols = ["Yield_g_per_pot", "Relative_Yield_%"]
 feature_cols = [c for c in df.columns if c not in drop_cols]