added description

app.py

@@ -15,10 +15,10 @@ def detect_turbine_anomaly(image):
 
 
 
-# description = """
-# <center><img src="https://huggingface.co/spaces/intelliarts/hotspot-anomaly-detection-for-solar-panels/resolve/main/images/ia_logo.png" width=270px> </center><br>
-# <p style="font-size: 20px; text-align: center;"">This is a demo of a computer vision model by Intelliarts. It's designed to detect anomalies in solar panels, in particular, overheated spots. The model operates on infrared images of solar panels. It indicates the overheated spot, outlines its area, and shows the approximate accuracy of anomaly detection. You can use your own infrared images for testing or utilize samples from our dataset. This demo is not a finished ML solution, but rather a proof of concept. It can be extended to detect other anomalies in solar panels as well as visible damages.</p>
-# """
+description = """
+<center><img src="https://huggingface.co/spaces/intelliarts/hotspot-anomaly-detection-for-solar-panels/resolve/main/images/ia_logo.png" width=270px> </center><br>
+<p style="font-size: 20px; text-align: center;"">This is a demo of a wind farm management model designed to monitor the condition of wind turbines. It can be integrated into a drone surveillance system to enhance inspection processes. The model identifies obstacles such as power lines and antennas, helping to plan efficient paths for drones and preventing potential collisions. You can test the model with your own drone footage or utilize samples from our dataset.</p>
+"""
 
 
 demo = gr.Interface(fn=detect_turbine_anomaly, inputs=gr.Image(type='pil'), outputs="image",