test

app.py

@@ -18,8 +18,8 @@ import torch
 # install('mmcv-full')
 # install('mmengine')
 # install('mmdet')
-from mmocr.apis import MMOCRInferencer
-ocr = MMOCRInferencer(det='TextSnake', rec='ABINet_Vision')
+# from mmocr.apis import MMOCRInferencer
+# ocr = MMOCRInferencer(det='TextSnake', rec='ABINet_Vision')
 
 url = (
     "https://upload.wikimedia.org/wikipedia/commons/3/38/Adorable-animal-cat-20787.jpg"
@@ -102,7 +102,7 @@ output_img = gr.outputs.Image(label="Output of Integrated Gradients", type="pil"
 
 title = "XAI - Integrated gradients"
 description = "Playground: Integrated gradients for a ResNet model trained on Imagenet dataset. Tools: Alibi, TF, Gradio."
-examples = [["./cat.jpg", "blur"], ["./dog.jpg", "random"]]
+examples = [["./cat.jpg"], ["./dog.jpg"]]
 article = "<p style='text-align: center'><a href='https://github.com/mawady' target='_blank'>By Dr. Mohamed Elawady</a></p>"
 iface = gr.Interface(
     fn=do_process,