Update app.py

app.py

@@ -9,6 +9,10 @@ from tensorflow.keras import layers
 from tensorflow.keras.applications import efficientnet
 from tensorflow.keras.layers import TextVectorization
 
+#warning ignorer
+import warnings
+warnings.filterwarnings("ignore")
+
 # Desired image dimensions
 IMAGE_SIZE = (299, 299)
 # Vocabulary size
@@ -387,7 +391,6 @@ outputs = [
 title = "Image Captioning using CNN and a transformer + "
 description = "Implementing an image captioning model using a pretrained CNN model of Efficient Net and transformer to generate Image Caption for the uploaded image. Flickr8K Dataset was used for training." 
 article = " "
-examples = [["pic 1.jpg"], ["pic 2.jpg"], ["pic 3.jpg"], ["pic 4.jpg"]]
 
 gr.Interface(
     generate_caption,
@@ -396,5 +399,5 @@ gr.Interface(
     title=title,
     description=description,
     article=article,
-    examples=examples,
-   ).launch(debug=True, enable_queue=True)
+    examples=[["pic 1.jpg"], ["pic 2.jpg"], ["pic 3.jpg"], ["pic 4.jpg"]],
+   ).launch()