Update app.py

app.py

@@ -9,7 +9,7 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "Perfect Window/Damaged_Window Classifier"
+title = "Perfect_Window/Damaged_Window Classifier"
 description = "A Window/Damaged_Window classifier trained on the google random images. Please use the examples to try it out. Created as a demo."
 examples = ['w2.jpeg','w3.jpg','w4.jpg','w5.jpg']
 interpretation='default'