Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import gradio as gr
 
 import torch
@@ -50,8 +51,6 @@ def identity(video_path):
         num_chunks = len_audio // max_min
     else:
         num_chunks = len_audio // max_min + 1
-    if len_audio and not num_chunks:
-        num_chunks += 1
     print(f"Total length of audio = {len_audio} chunks = {num_chunks}")
     estimate = []
     split_tensors = torch.tensor_split(sample, int(num_chunks), dim = 1)
@@ -82,9 +81,9 @@ demo = gr.Interface(
     fn=identity,
     title="AudioPure - THE BEST AUDIO DENOISER",
     description="AudioPure is the only platform you need for removing all kinds of background noise from your videos!!",
-    examples=[['audiopure_og.mov']],
-    cache_examples=True,
+    # examples=[['audiopure_og.mov']],
+    # cache_examples=True,
     inputs=gr.Video(label="Input Video", sources="upload"),
     outputs=gr.Video(label="Output Video"),
-    )
-demo.launch()
+)
+demo.launch(share=True, debug=True)