Update app.py

app.py

@@ -14,7 +14,7 @@ import cv2
 model = load_model('Densenet.h5')
 model.load_weights("pretrained_model.h5")
 layer_name = 'conv5_block16_concat'
-class_names = ['Cardiomegaly', 'Emphysema', 'Effusion', 'Hernia', 'Infiltration', 'Mass', 'Nodule', 'Atelectasis', 'Pneumothorax', 'Pleural_Thickening', 'Pneumonia', 'Fibrosis', 'Edema', 'Consolidation']
+class_names = ['Cardiomegaly', 'Emphysema', 'Effusion', 'Hernia', 'Infiltration', 'Mass', 'Nodule', 'Atelectasis', 'Pneumothorax', 'Pleural_Thickening', 'Pneumonia', 'Fibrosis', 'Edema', 'Consolidation', 'No Finding']
 def get_gradcam(model, img, layer_name):
     
     img_array = img_to_array(img)
@@ -80,9 +80,9 @@ iface = gr.Interface(
     inputs="image", 
     outputs=["text", "image"],  # Add an "image" output for the overlayed image
     title="Xray Classification - KIMS",
-    description="Classify cxr into 'Cardiomegaly', 'Emphysema', 'Effusion', 'Hernia', 'Infiltration', 'Mass', 'Nodule', 'Atelectasis', 'Pneumothorax', 'Pleural_Thickening', 'Pneumonia', 'Fibrosis', 'Edema', 'Consolidation'. Built by Dr Sai and Dr Ajavindu"
+    description="Classify cxr into 'Cardiomegaly', 'Emphysema', 'Effusion', 'Hernia', 'Infiltration', 'Mass', 'Nodule', 'Atelectasis', 'Pneumothorax', 'Pleural_Thickening', 'Pneumonia', 'Fibrosis', 'Edema', 'Consolidation', No Finding. Built by Dr Sai and Dr Ajavindu"
 )
 
 
-# Launch the interface
+# Launch the interface, 
 iface.launch( )