Update app.py

app.py

@@ -3,16 +3,12 @@ import torch
 import yolov7
 
 
-# Images
-#torch.hub.download_url_to_file('https://raw.githubusercontent.com/nihalbaig0/BD-Vehicle-Detection/main/images/bondor_to_kodomtoli.jpg', 'bondor_to_kodomtoli.jpg')
-#torch.hub.download_url_to_file('https://raw.githubusercontent.com/nihalbaig0/BD-Vehicle-Detection/main/images/lamabazar_to_versitygate.jpg', 'lamabazar_to_versitygate.jpg')
-    
 def yolov7_inference(
-    image: gr.inputs.Image = None,
-    model_path: gr.inputs.Dropdown = None,
-    image_size: gr.inputs.Slider = 640,
-    conf_threshold: gr.inputs.Slider = 0.25,
-    iou_threshold: gr.inputs.Slider = 0.45,
+    image,
+    model_path,
+    image_size,
+    conf_threshold,
+    iou_threshold,
 ):
     """
     YOLOv7 inference function
@@ -34,31 +30,28 @@ def yolov7_inference(
         
 
 inputs = [
-    gr.inputs.Image(type="pil", label="Input Image"),
-    gr.inputs.Dropdown(
+    gr.Image(type="pil", label="Input Image"),
+    gr.Dropdown(
         choices=[
             "nihalbaig/yolov7",
-            
         ],
-        default="nihalbaig0/yolov7",
+        value="nihalbaig0/yolov7",
         label="Model",
     ),
-    gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
-    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
-    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
+    gr.Slider(minimum=320, maximum=1280, value=640, step=32, label="Image Size"),
+    gr.Slider(minimum=0.0, maximum=1.0, value=0.25, step=0.05, label="Confidence Threshold"),
+    gr.Slider(minimum=0.0, maximum=1.0, value=0.45, step=0.05, label="IOU Threshold"),
 ]
 
-outputs = gr.outputs.Image(type="filepath", label="Output Image")
+outputs = gr.Image(type="filepath", label="Output Image")
 title = "Project-350: BD Vehicle Detection for Autonomous Vehicle"
 
-#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,
     outputs=outputs,
     title=title,
-    #examples=examples,
     cache_examples=True,
-    theme='darkhuggingface',
+    theme="dark",
 )
-demo_app.launch(debug=True, enable_queue=True)
+demo_app.launch(debug=True, queue=True)