Update app.py

app.py

@@ -5,9 +5,9 @@ from PIL import Image
 from tensorflow import keras 
 from tensorflow.keras.applications.resnet50 import preprocess_input
 
-autoencoder = keras.models.load_model("D:/midterm/autoencoder/models/denoising_autoencoder_weights.h5")
-encoder = keras.models.load_model("D:/midterm/autoencoder/models/encoder.h5")
-decoder = keras.models.load_model("D:/midterm/autoencoder/models/decoder.h5")
+autoencoder = keras.models.load_model("./models/denoising_autoencoder_weights.h5")
+encoder = keras.models.load_model("./models/encoder.h5")
+decoder = keras.models.load_model("./models/decoder.h5")
 
 
 # Define the Gradio interface
@@ -35,7 +35,7 @@ iface = gr.Interface(
     title="Denoising Autoencoder",
     description="Upload an image and see its denoised version using a denoising autoencoder.",
     examples=[
-        ["D:/midterm/autoencoder/example.jpg"]
+        ["./example.jpg"]
       ],
 )