updated themes images and model selector

app.py

@@ -4,8 +4,8 @@ import yolov7
 
 
 # Images
-torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg', 'zidane.jpg')
-torch.hub.download_url_to_file('https://raw.githubusercontent.com/obss/sahi/main/tests/data/small-vehicles1.jpeg', 'small-vehicles1.jpeg')
+torch.hub.download_url_to_file('https://github.com/nihalbaig0/BD-Vehicle-Detection/blob/main/images/bondor_to_kodomtoli.jpg', 'bondor_to_kodomtoli.jpg')
+torch.hub.download_url_to_file('https://github.com/nihalbaig0/BD-Vehicle-Detection/blob/main/images/lamabazar_to_versitygate.jpg', 'lamabazar_to_versitygate.jpg')
     
 def yolov7_inference(
     image: gr.inputs.Image = None,
@@ -40,7 +40,7 @@ inputs = [
             "nihalbaig/yolov7",
             
         ],
-        default="kadirnar/yolov7-tiny-v0.1",
+        default="nihalbaig0/yolov7",
         label="Model",
     ),
     gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
@@ -49,9 +49,9 @@ inputs = [
 ]
 
 outputs = gr.outputs.Image(type="filepath", label="Output Image")
-title = "Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors"
+title = "Project-350: BD Vehicle Detection for Autonomous Vehicle"
 
-examples = [['small-vehicles1.jpeg', 'kadirnar/yolov7-tiny-v0.1', 640, 0.25, 0.45], ['zidane.jpg', 'kadirnar/yolov7-v0.1', 640, 0.25, 0.45]]
+examples = [['bondor_to_kodomtoli.jpg', 'nihalbaig0/yolov7', 640, 0.25, 0.45], ['lamabazar_to_versitygate.jpg', 'nihalbaig0/yolov7', 640, 0.25, 0.45]]
 demo_app = gr.Interface(
     fn=yolov7_inference,
     inputs=inputs,
@@ -59,6 +59,6 @@ demo_app = gr.Interface(
     title=title,
     examples=examples,
     cache_examples=True,
-    theme='huggingface',
+    theme='darkhuggingface',
 )
 demo_app.launch(debug=True, enable_queue=True)