Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 # import tensorflow as tf
+import os
 import keras
 import gdown
 from PIL import Image
@@ -21,19 +22,21 @@ labels = {
     9: "truck",
 }
 
+full_path = ""
 # Download the model file
 def download_model():
     url = "https://drive.google.com/uc?id=12700bE-pomYKoVQ214VrpBoJ7akXcTpL"
     output = "modelV2Lmixed.keras"
     gdown.download(url, output, quiet=False)
+    full_path = os.path.abspath(output)
     #return output
-    return
+    return full_path
 
 #model_file = download_model()
 download_model()
 
 # Load the model
-model = keras.saving.load_model("modelV2Lmixed.keras")
+model = keras.saving.load_model(full_path)
 
 # Perform image classification for single class output
 # def predict_class(image):