Update app.py

app.py

@@ -6,10 +6,17 @@ import tensorflow as tf
 import tensorflow_addons
 import numpy as np
 
+import os
+import zipfile
+
+local_zip = "/FINAL-EFFICIENTNETV2-B0.zip"
+zip_ref = zipfile.ZipFile(local_zip, 'r')
+zip_ref.extractall('/FINAL-EFFICIENTNETV2-B0')
+zip_ref.close()
 
 detector = MTCNN()
 
-model = tf.keras.models.load_model("FINAL-EFFICIENTNETV2-B0")
+model = tf.keras.models.load_model("/FINAL-EFFICIENTNETV2-B0")
 
 
 def deepfakespredict(input_img):
@@ -51,13 +58,7 @@ def deepfakespredict(input_img):
 
 title="EfficientNetV2 Deepfakes Image Detector"
 description="This is a demo implementation of EfficientNetV2 Deepfakes Image Detector. To use it, simply upload your image, or click one of the examples to load them."
-examples = [
-            ['fake-86.jpg'],
-            ['fake-239.jpg'],
-            ['fake-254.jpg'],
-            ['fake-1266.jpg'],
-            ['fake-2225.jpg']
-            ]
+examples = []
 demo = gr.Interface(deepfakespredict,
                      inputs = ["image"],
                      outputs=["text","text","image"],