Update app.py

app.py

@@ -23,13 +23,6 @@ from tensorflow.keras.models import load_model
 # import time
 import os
 
-os.system("pip install gradio")
-os.system("pip install opencv-python")
-os.system("apt-get update && apt-get install -y python3-opencv")
-
-#os.system("wget https://github.com/Sxela/ArcaneGAN/releases/download/v0.4/ArcaneGANv0.4.jit")
-
-
 
 
 
@@ -54,10 +47,10 @@ model=load_model(PATH)
 labels=['Cat','Dog']
 NUM_CLASSES=2
 IMG_SIZE=224
-# ex=[['/content/dogs-cat-examples/cat2.jpg'],  
-#     ['/content/dogs-cat-examples/cat3.jpg'],
-#     ['/content/dogs-cat-examples/dog2.jpeg'],
-#     ['/content/dogs-cat-examples/dog.jpeg']]
+ex=[['/content/dogs-cat-examples/cat2.jpg'],  
+     ['/content/dogs-cat-examples/cat3.jpg'],
+     ['/content/dogs-cat-examples/dog2.jpeg'],
+     ['/content/dogs-cat-examples/dog.jpeg']]
 
 """
 ## RUNNING WEB UI"""
@@ -71,7 +64,7 @@ def classify_image(inp):
 image = gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE))
 label = gr.outputs.Label(num_top_classes=2)
 
-gr.Interface(fn=classify_image, inputs=image, outputs=label, title='Cats Vs Dogs',height=600, width=1200).launch()
+gr.Interface(fn=classify_image, inputs=image, outputs=label, title='Cats Vs Dogs',height=600, width=1200,examples=ex).launch()