Update src/streamlit_app.py

src/streamlit_app.py

@@ -5,7 +5,7 @@ from tensorflow.keras.preprocessing import image
 from tensorflow.keras.applications.efficientnet import preprocess_input
 from PIL import Image
 
-model = load_model("best_efficientnet_model.keras")
+model = load_model("src/best_efficientnet_model.keras")
 
 class_names = [
     'apple', 'banana', 'beetroot', 'bell pepper', 'cabbage', 'capsicum', 'carrot',
@@ -15,7 +15,7 @@ class_names = [
     'soy beans', 'spinach', 'sweetcorn', 'sweetpotato', 'tomato', 'turnip', 'watermelon'
 ]
 
-st.title("Fruit and Vegetable Classifier")
+st.title("Fruit and Vegetable Recognition")
 
 st.markdown("Upload an image of a fruit or vegetable. The model will predict its class.")