Update app.py

app.py

@@ -65,7 +65,7 @@ def classify_image(img):
     std = np.std(img_array, axis=(0, 1))
     img_array = (img_array - mean) / std
     
-    img_array = np.expand_dims(zoomed_img, axis=0)
+    img_array = np.expand_dims(img_array, axis=0)
     img_array = preprocess_input(img_array)
 
 
@@ -81,7 +81,7 @@ iface = gr.Interface(
     inputs="image", 
     outputs=["text", "image"],  # Add an "image" output for the overlayed image
     title="Xray Classification - KIMS",
-    description="Classify cxr into one of 20 classes - Atelectasis, Cardiomegaly, Consolidation, Edema, Effusion, Emphysema, Fibrosis, Hernia, Infiltration, Mass, Nodule, Pleural Thickening, Pneumonia, Pneumothorax, Pneumoperitoneum, Pneumomediastinum, Subcutaneous Emphysema, Tortuous Aorta, Calcification of the Aorta, No Finding. 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'. Built by Dr Sai and Dr Ajavindu"
 )