maybe fixes for converting input

app.py

@@ -31,7 +31,8 @@ def run_on_gpu(input_point_cloud_viewer,
                  '--gen_subsample_manifold_iter', str(gen_subsample_manifold_iter),
                  '--gen_refine_iter', str(gen_refine_iter),
                  ]
-    res = subprocess.check_output(call_base + call_args)
+    # res = subprocess.check_output(call_base + call_args)
+    res = subprocess.run(call_base + call_args)
     print('Finished inference at {}'.format(datetime.datetime.now()))
 
     return res
@@ -53,20 +54,18 @@ def main():
     Inference takes about 2 minutes.
     '''
 
-    def convert_to_ply(input_point_cloud_upload: str):
+    def convert_to_ply():  # input_point_cloud_upload: str):
 
         # add absolute path to import dirs
         import sys
         import os
         sys.path.append(os.path.abspath('ppsurf'))
 
-        print('before\n', subprocess.check_output('ls'))
         import os
         os.chdir('ppsurf')
-        print('after\n', subprocess.check_output('ls'))
 
         print('Inputs:', input_point_cloud_upload)
-        input_shape = input_point_cloud_upload
+        input_shape = str(input_point_cloud_upload)
         if not input_shape.endswith('.ply'):
             # load file
             from ppsurf.source.occupancy_data_module import OccupancyDataModule
@@ -78,6 +77,8 @@ def main():
             input_shape = input_shape + '.ply'
             mesh.export(input_shape)
 
+        print('ls\n', subprocess.check_output(['ls', os.path.dirname(input_shape)]))
+
         # show in viewer
         print(input_tabs)
         print(input_point_cloud_viewer)
@@ -99,14 +100,14 @@ def main():
                     with gr.TabItem(label='Input Point Cloud Upload', id='pc_upload'):
                         input_point_cloud_upload = gr.File(
                             show_label=False, file_count='single')
-                        input_point_cloud_upload.upload(fn=convert_to_ply,
-                        inputs=[
-                            input_point_cloud_upload,
-                        ],
-                        outputs=[
-                            # input_point_cloud_viewer,  # not available here
-                        ])
-                        # input_point_cloud_upload.attach_load_event(convert_to_ply, every=None)
+                        input_point_cloud_upload.upload(
+                            fn=convert_to_ply,
+                            inputs=[
+                                # input_point_cloud_upload,
+                            ],
+                            outputs=[
+                                # input_point_cloud_viewer,  # not available here
+                            ])
                     with gr.TabItem(label='Input Point Cloud Viewer', id='pc_viewer'):
                         input_point_cloud_viewer = gr.Model3D(show_label=False)
                 gen_resolution_global = gr.Slider(
@@ -121,7 +122,6 @@ def main():
                 gen_refine_iter = gr.Slider(
                     label='Edge Refinement Iterations (larger for more details)',
                     minimum=3, maximum=30, value=10, step=1)
-                # run_button = gr.Button('Run')
             with gr.Column():
                 progress_text = gr.Text(label='Progress')
                 with gr.Tabs():
@@ -151,7 +151,7 @@ def main():
         #                 cache_examples=False)
 
         with gr.Row():
-            run_button = gr.Button('=> Run PPSurf =>')
+            run_button = gr.Button('Reconstruct with PPSurf')
 
         run_button.click(fn=run_on_gpu,
                          inputs=[