add max video length

app.py

@@ -51,7 +51,7 @@ def sigmoid(x):
     return 1 / (1 + np.exp(-x))
 
 
-@spaces.GPU(duration=180)
+@spaces.GPU()
 def inference(x, count_only_api, api_key, img_size=224, seq_len=64, stride_length=32, stride_pad=3, batch_size=4, miss_threshold=0.8, marks_threshold=0.6, median_pred_filter=True, center_crop=True, both_feet=True, api_call=False):
     print(x)
     # check if GPU is available
@@ -60,6 +60,7 @@ def inference(x, count_only_api, api_key, img_size=224, seq_len=64, stride_lengt
                                                 "user_compute_stream": str(torch.cuda.current_stream().cuda_stream)})]
         sess_options = ort.SessionOptions()
         ort_sess = ort.InferenceSession(onnx_file, sess_options=sess_options, providers=providers)
+        print("Using GPU")
     else:
         ort_sess = ort.InferenceSession(onnx_file)
     #api = HfApi(token=os.environ['DATASET_SECRET'])
@@ -315,7 +316,9 @@ DESCRIPTION += '\nDemo created by [Dylan Plummer](https://dylan-plummer.github.i
 
 with gr.Blocks(theme='WeixuanYuan/Soft_dark') as demo:
     gr.Markdown(DESCRIPTION)
-    in_video = gr.PlayableVideo(label="Input Video", elem_id='input-video', format='mp4', width=400, height=400, interactive=True, container=True)
+    in_video = gr.PlayableVideo(label="Input Video", elem_id='input-video', format='mp4', 
+                                width=400, height=400, interactive=True, container=True,
+                                max_length=150)
             
     with gr.Row():
         run_button = gr.Button(value="Run", elem_id='run-button', scale=1)