Update app.py

app.py

@@ -7,9 +7,9 @@ import pickle
 import torch
 import numpy as np
 from PIL import Image
-from keras.models import load_model
-#from tensorflow.keras.models import load_model
-from tensorflow.keras.preprocessing.image import img_to_array, load_img
+from tensorflow.keras.models import load_model  # ✅ FIXED
+from tensorflow.keras.preprocessing.image import img_to_array, load_img  # ✅ FIXED
+from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint  # optional, if used
 from transformers import CLIPProcessor, CLIPModel
 from sentence_transformers import SentenceTransformer, CrossEncoder
 from langdetect import detect
@@ -20,11 +20,10 @@ model_path = os.path.join(Main_py, "best_cnn_model_finetuned.keras")
 label_path = os.path.join(Main_py, "label_encoder.pkl")
 json_path = os.path.join(Main_py, "banana_disease_knowledge_base_updated_shuffled.json")
 
-
 # ===================== LOAD MODELS & DATA =====================
 @st.cache_resource
 def load_cnn_clip_kb():
-    model = load_model(model_path)
+    model = load_model(model_path)  # ✅ FIXED
     with open(label_path, "rb") as f:
         le = pickle.load(f)
     with open(json_path, "r", encoding="utf-8") as f: