Update app.py

app.py

@@ -37,20 +37,20 @@ def yolov8_img_inference(
     
     return render
 
-inputs_images = [
+inputs_image = [
     gr.inputs.Image(type="filepath", label="Input Image"),
-    gr.inputs.Dropdown(["linhcuem/chamdiem_yolov8_ver10"],
-                      default="linhcuem/chamdiem_yolov8_ver10", label="Model"),
+    gr.inputs.Dropdown(["linhcuem/chamdiem_yolov8_ver10"], 
+                       default="linhcuem/chamdiem_yolov8_ver10", 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.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"),
 ]
 
-output_image = gr.outputs.Image(type="filepath", label="Output Image")
+outputs_image =gr.outputs.Image(type="filepath", label="Output Image")
 interface_image = gr.Interface(
     fn=yolov8_img_inference,
-    inputs=inputs_images,
-    outputs=output_image,
+    inputs=inputs_image,
+    outputs=outputs_image,
     title=model_heading,
     description=description,
     examples=image_path,