Update app.py

app.py

@@ -1,17 +1,12 @@
 import gradio as gr
 import tensorflow as tf
-import requests
-from io import BytesIO
 
-# Function to download the model from Hugging Face
-def download_model(model_url):
-    response = requests.get(model_url)
-    model = tf.keras.models.load_model(BytesIO(response.content))
-    return model
+# Define the path to your model relative to `app.py`
+# Since they're in the same directory, you just need the model file name
+MODEL_PATH = 'fruitquality-1.0.h5'
 
-# Direct link to your .h5 model file on Hugging Face
-MODEL_URL = 'https://huggingface.co/azlan8289/fruitquality-1.0/tree/main/fruitquality-1.0.h5'
-model = download_model(MODEL_URL)
+# Load the model directly from the file system
+model = tf.keras.models.load_model(MODEL_PATH)
 
 # Define class names based on your labels
 CLASS_NAMES = [