Update app.py

app.py

@@ -124,7 +124,7 @@ def predict(classification_mode, image):
 
 
 description = """
-<center><img src="dronePV_picture.jpg"></center><br><br><br><br>
+<center><img src="dronePV_picture.jpg" alt="Drone Inspection in Solar Farms" /> </center><br><br><br><br>
 <center>This program identifies the type of anomaly found in solar panel using an image classification model and the percentage of the affected area using an image segmentation model.</center>
 <center><i>(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)</center></i>
 """