mpc001 commited on
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8fa7a2d
1 Parent(s): 19989e3

Update app.py

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Files changed (1) hide show
  1. app.py +17 -32
app.py CHANGED
@@ -25,30 +25,25 @@ def fn(pipeline_type, filename):
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  demo = gr.Blocks()
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  with demo:
 
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  gr.HTML(
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  """
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- <div style="text-align: center; max-width: 700px; margin: 0 auto;">
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- <div
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- style="
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- display: inline-flex;
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- align-items: center;
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- gap: 0.8rem;
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- font-size: 1.75rem;
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- "
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- >
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- <h1 style="font-weight: 900; font-size: 3rem; margin: 0rem">
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- Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
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- </h1>
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- <h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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- [<a href="https://arxiv.org/abs/2303.14307" style="color:blue;">arXiv</a>]
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- [<a href="https://github.com/mpc001/auto_avsr" style="color:blue;">Code</a>]
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- </h3>
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- </div>
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- <p style="margin-bottom: 10px; font-size: 94%">
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- </p>
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- </div>
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- """
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- )
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  dropdown_list = gr.inputs.Dropdown(["ASR", "VSR(mediapipe)", "AVSR(mediapipe)"], label="model")
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  video_file = gr.Video(label="INPUT VIDEO", include_audio=True)
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  text = gr.Textbox(label="PREDICTION")
@@ -56,14 +51,4 @@ with demo:
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  btn.click(fn, inputs=[dropdown_list, video_file], outputs=text)
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- with gr.Accordion("Additional information", open=False):
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- gr.HTML(
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- """
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- <div class="acknowledgments">
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- <p> We used retinaface for training, but for the demo we used mediapipe </p>
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- <p> We share this demo only for non-commercial purposes. </p>
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- </div>
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- """
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- )
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-
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  demo.launch()
 
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  demo = gr.Blocks()
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  with demo:
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+
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  gr.HTML(
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  """
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+ <div style="text-align: center; max-width: 1200px; margin: 20px auto;">
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+ <h1 style="font-weight: 900; font-size: 3rem; margin: 0rem">
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+ Auto-AVSR
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+ </h1>
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+ <h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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+ [<a href="https://arxiv.org/abs/2303.14307" style="color:blue;">arXiv</a>]
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+ [<a href="https://github.com/mpc001/auto_avsr" style="color:blue;">Code</a>]
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+ </h3>
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+ <h2 style="text-align: left; font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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+ 🔥 <b>Notes</b>: We share this demo only for non-commercial purposes.
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+ </h2>
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+
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+ </div>
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+ """)
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+
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+
 
 
 
 
 
 
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  dropdown_list = gr.inputs.Dropdown(["ASR", "VSR(mediapipe)", "AVSR(mediapipe)"], label="model")
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  video_file = gr.Video(label="INPUT VIDEO", include_audio=True)
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  text = gr.Textbox(label="PREDICTION")
 
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  btn.click(fn, inputs=[dropdown_list, video_file], outputs=text)
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  demo.launch()