Upload folder using huggingface_hub

app.py

@@ -11,15 +11,18 @@ def no_cpu_warning(video_file, dataset, lora, size):
 
     if not os.path.exists(output):
         print(output)
-        raise gr.Error("This combination of video and model has not been cached. Try one of the listed examples below instead.")
+        raise gr.Error("This combination of video and model has not been cached. Try one of the listed examples instead.")
 
-    gr.Warning("This interface is running on CPU. Only cached examples are displayed here, no novel music is generated. Please be patient, as the videos meight take a while to be downloaded.")
+    gr.Warning("This interface is running on CPU. Only cached generated examples are displayed here, no new music is generated. Please be patient, as the videos meight take a while to download.")
     print("Displaying video: " + output)
     return output
 
-interface = gr.Interface(fn=no_cpu_warning,
+with gr.Blocks() as demo:
+    gr.Markdown('<span style="color:yellow"> **WARNING**: Multiple cached videos are examples are displayed here. Please be patient, as the videos meight take a while to download.</span>')
+    gr.Interface(fn=no_cpu_warning,
                          inputs=[
-                                 gr.Video(label="Original Video",
+                                 gr.Video(value="./videos/n_5.mp4",
+                                          label="Original Video",
                                           min_length=5,
                                           max_length=20,
                                           sources=[],
@@ -71,6 +74,6 @@ interface = gr.Interface(fn=no_cpu_warning,
                          )
 
 if __name__ == "__main__":
-    interface.launch(
+    demo.launch(
         share=False
     )