add more examples

app.py

@@ -37,6 +37,7 @@ compiled_model_ir = ie.compile_model(model=model_ir, device_name="CPU", config=c
 
 a = os.path.join(os.path.dirname(__file__), "files", "dylan.mp4")
 b = os.path.join(os.path.dirname(__file__), "files", "train14.mp4")
+c = os.path.join(os.path.dirname(__file__), "files", "train_17.mp4")
 
 
 class SquarePad:
@@ -218,12 +219,12 @@ def inference(x, count_only_api, api_key, img_size=192, seq_len=64, stride_lengt
 
     if api_call:
         if count_only_api:
-            return f"{count_pred:.2f}"
+            return f"{count_pred:.2f} (conf: {total_confidence:.2f})"
         else:
             return np.array2string(periodLength, formatter={'float_kind':lambda x: "%.2f" % x}).replace('\n', ''), \
                 np.array2string(periodicity, formatter={'float_kind':lambda x: "%.2f" % x}).replace('\n', ''), \
                 np.array2string(full_marks, formatter={'float_kind':lambda x: "%.2f" % x}).replace('\n', ''), \
-                f"reps: {count_pred:.2f}, marks: {marks_count_pred:.1f}", \
+                f"reps: {count_pred:.2f}, marks: {marks_count_pred:.1f}, confidence: {total_confidence:.2f}", \
                 f"single_rope_speed: {event_type_probs[0]:.3f}, double_dutch: {event_type_probs[1]:.3f}, double_unders: {event_type_probs[2]:.3f}, single_bounce: {event_type_probs[3]:.3f}"
    
 
@@ -348,8 +349,9 @@ with gr.Blocks(theme='WeixuanYuan/Soft_dark') as demo:
     demo_inference = partial(inference, count_only_api=False, api_key=None)
 
     gr.Examples(examples=[
-                        [a, True, False, -1, True, 1.0, 0.95],
-                        [b, False, True, -1, True, 1.0, 0.95],
+                        [a],
+                        [b],
+                        [c]
                     ],
                 inputs=[in_video],
                 outputs=[out_text, out_plot, out_hist, out_event_type_dist],