oceansweep commited on
Commit
ab3e595
·
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1 Parent(s): 9074c7e

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -8
app.py CHANGED
@@ -24,13 +24,13 @@ import yt_dlp
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  # To Do
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  # Offline diarization - https://github.com/pyannote/pyannote-audio/blob/develop/tutorials/community/offline_usage_speaker_diarization.ipynb
 
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  #
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  # Changes made to app.py version:
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  # 1. Removal of video files after conversion -> check main function
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  # 2. Usage of/Hardcoding HF_TOKEN as token for API calls
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  # 3. Usage of HuggingFace for Inference
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  # 4. Other stuff I can't remember. Will eventually do a diff and document them.
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- # 5. Dark mode changes under gradio
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  #
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@@ -1201,12 +1201,7 @@ def launch_ui(demo_mode=False):
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  return "\n".join([item["text"] for item in json_data])
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  else:
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  return ""
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- # FIXME - Figure out how to enable dark mode...
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- # with gr.Blocks(theme='bethecloud/storj_theme') as demo:
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- # with gr.Column(scale=3):
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- # with gr.Group():
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- # dropdown.render()
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- # toggle_dark = gr.Button(value="Toggle Dark").style(full_width=True)
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  dropdown.change(None, dropdown, None, _js=js)
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  toggle_dark.click(
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  None,
@@ -1246,6 +1241,7 @@ def launch_ui(demo_mode=False):
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  description="Submit a video URL for transcription and summarization.",
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  allow_flagging="never",
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  theme='bethecloud/storj_theme'
 
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  )
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  iface.launch(share=True)
@@ -1263,7 +1259,7 @@ def launch_ui(demo_mode=False):
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  ####################################################################################################################################
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  # Main()
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  #
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- def main(input_path, api_name=None, api_key=None, num_speakers=2, whisper_model="small.en", offset=0, vad_filter=False, download_video_flag=False):
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  if input_path is None and args.user_interface:
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  return []
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  start_time = time.monotonic()
 
24
 
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  # To Do
26
  # Offline diarization - https://github.com/pyannote/pyannote-audio/blob/develop/tutorials/community/offline_usage_speaker_diarization.ipynb
27
+ # Dark mode changes under gradio
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  #
29
  # Changes made to app.py version:
30
  # 1. Removal of video files after conversion -> check main function
31
  # 2. Usage of/Hardcoding HF_TOKEN as token for API calls
32
  # 3. Usage of HuggingFace for Inference
33
  # 4. Other stuff I can't remember. Will eventually do a diff and document them.
 
34
  #
35
 
36
 
 
1201
  return "\n".join([item["text"] for item in json_data])
1202
  else:
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  return ""
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+
 
 
 
 
 
1205
  dropdown.change(None, dropdown, None, _js=js)
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  toggle_dark.click(
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  None,
 
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  description="Submit a video URL for transcription and summarization.",
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  allow_flagging="never",
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  theme='bethecloud/storj_theme'
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+ # FIXME - Figure out how to enable dark mode...
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  )
1246
 
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  iface.launch(share=True)
 
1259
  ####################################################################################################################################
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  # Main()
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  #
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+ def main(input_path, api_name=None, api_key=None, num_speakers=2, whisper_model="small.en", offset=0, vad_filter=False, download_video_flag=False, demo_mode=False):
1263
  if input_path is None and args.user_interface:
1264
  return []
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  start_time = time.monotonic()