Update app.py

app.py

@@ -124,10 +124,10 @@ def predict(classification_mode, image):
 
 
 description = """
-<center><img src="https://huggingface.co/spaces/zklee98/SolarPanelAnomaly/resolve/main/images/dronePV_picture.jpg" width=270px> </center>
-<center>This program identifies the <b>type of anomaly</b> found in solar panel using an image classification model and </center> 
-<center> the <b>percentage of the affected area</b> using an image segmentation model.</center><br><br><br><br>
-<center> Step 1: Choose classification mode >  Step 2: Upload your image >  Step 3: Click Submit </center>
+<center><img src="https://huggingface.co/spaces/zklee98/SolarPanelAnomaly/resolve/main/images/dronePV_picture.jpg" width=270px> </center><br>
+<center>This program identifies the type of anomaly found in solar panel using an image classification model and </center> 
+<center> the percentage of the affected area using an image segmentation model.</center><br><br><br>
+<center> Step 1: Choose classification mode >  Step 2: Upload your image >  Step 3: Click Submit </center><br>
 <center><i><b>(Models are trained on <a href="https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth22.pdf">InfraredSolarModules</a> dataset, and hence expect infrared image as input)</b></i></center>
 """