envs

app.py

@@ -131,15 +131,15 @@ if not os.path.exists("models/personalized/TUSUN.safetensors"):
     os.system(f'mv models/personalized/TUSUN.safetensors?download=true models/personalized/TUSUN.safetensors')
     print("TUSUN Download!", )
 
-mv1 = os.system(f'mv /usr/local/lib/python3.10/site-packages/gradio/helpers.py /usr/local/lib/python3.10/site-packages/gradio/helpers_bkp.py')
-mv2 = os.system(f'mv helpers.py /usr/local/lib/python3.10/site-packages/gradio/helpers.py')
+# mv1 = os.system(f'mv /usr/local/lib/python3.10/site-packages/gradio/helpers.py /usr/local/lib/python3.10/site-packages/gradio/helpers_bkp.py')
+# mv2 = os.system(f'mv helpers.py /usr/local/lib/python3.10/site-packages/gradio/helpers.py')
 
 
-# 检查命令是否成功
-if mv1 == 0 and mv2 == 0:
-    print("file move success!")
-else:
-    print("file move failed!")
+# # 检查命令是否成功
+# if mv1 == 0 and mv2 == 0:
+#     print("file move success!")
+# else:
+#     print("file move failed!")
 
 
 # - - - - - examples  - - - - -  #
@@ -305,11 +305,13 @@ class ImageConductor:
         print("Run!")
         if examples_type != "":
             ### for adapting high version gradio
+            tracking_points = gr.State([])
             first_frame_path = IMAGE_PATH[examples_type]
-            tracking_points = json.load(open(POINTS[examples_type]))
+            points = json.load(open(POINTS[examples_type]))
+            tracking_points.value.extend(points)
             print("example first_frame_path", first_frame_path)
-            print("example tracking_points", tracking_points)
-        
+            print("example tracking_points", tracking_points.value)
+            
         original_width, original_height=384, 256
         if isinstance(tracking_points, list):
             input_all_points = tracking_points
@@ -672,4 +674,4 @@ with block:
                                             negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, personalized, examples_type], 
                                             [output_image, output_video])
 
-block.launch()
+block.queue().launch()