Update

app.py

@@ -79,4 +79,4 @@ with gr.Blocks(css='style.css') as demo:
     if not HF_TOKEN:
         show_warning(HF_TOKEN_NOT_SPECIFIED_WARNING)
 
-demo.queue(max_size=1).launch(share=False)
+demo.queue(api_open=False, max_size=1).launch()

app_inference.py

@@ -167,4 +167,4 @@ if __name__ == '__main__':
     hf_token = os.getenv('HF_TOKEN')
     pipe = InferencePipeline(hf_token)
     demo = create_inference_demo(pipe, hf_token)
-    demo.queue(max_size=10).launch(share=False)
+    demo.queue(api_open=False, max_size=10).launch()

app_training.py

@@ -6,7 +6,7 @@ import os
 
 import gradio as gr
 
-from constants import MODEL_LIBRARY_ORG_NAME, SAMPLE_MODEL_REPO, UploadTarget
+from constants import UploadTarget
 from inference import InferencePipeline
 from trainer import Trainer
 
@@ -132,4 +132,4 @@ if __name__ == '__main__':
     hf_token = os.getenv('HF_TOKEN')
     trainer = Trainer(hf_token)
     demo = create_training_demo(trainer)
-    demo.queue(max_size=1).launch(share=False)
+    demo.queue(api_open=False, max_size=1).launch()

app_upload.py

@@ -103,4 +103,4 @@ if __name__ == '__main__':
 
     hf_token = os.getenv('HF_TOKEN')
     demo = create_upload_demo(hf_token)
-    demo.queue(max_size=1).launch(share=False)
+    demo.queue(api_open=False, max_size=1).launch()

trainer.py

@@ -21,7 +21,7 @@ sys.path.append('Tune-A-Video')
 
 URL_TO_JOIN_MODEL_LIBRARY_ORG = 'https://huggingface.co/organizations/Tune-A-Video-library/share/YjTcaNJmKyeHFpMBioHhzBcTzCYddVErEk'
 ORIGINAL_SPACE_ID = 'Tune-A-Video-library/Tune-A-Video-Training-UI'
-SPACE_ID = os.getenv('SPACE_ID', ORIGINAL_SPACE_ID)
+SPACE_ID = os.getenv('SPACE_ID')
 
 
 class Trainer: