thangved commited on
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649988d
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1 Parent(s): 78f4e06

chore: remove examples

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  1. app.py +4 -27
app.py CHANGED
@@ -74,34 +74,11 @@ def translate(video_file, true_caption=None):
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  return {"translation":translation}
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  # Gradio App config
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- title = "American Sign Language Translation: An Approach Combining MoViNets and T5"
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-
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- description = """
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- This application hosts a model for translation of American Sign Language (ASL).
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- The model comprises of a fine-tuned MoViNet CNN model to generate video embeddings and a T5 encoder-decoder model
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- to generate translations from the video embeddings. This model architecture achieves a BLEU score of 1.98
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- and an average cosine similarity score of 0.21 when trained and evaluated on the YouTube-ASL dataset.
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- More information about the model training and instructions to download the models
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- can be found in our <a href=https://github.com/deanna-emery/ASL-Translator>GitHub repository</a>.
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- You can also find an overview of the project approach
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- <a href=https://www.ischool.berkeley.edu/projects/2023/signsense-american-sign-language-translation>here</a>.
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-
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- A limitation of this architecture is the size of the MoViNets model, making it especially slow during inference on a CPU.
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- We do not recommend uploading videos longer than 4 seconds as the video embedding generation may take some time.
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- The application does not accept videos that are longer than 10 seconds.
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- We have provided some pre-cached videos with their original captions and translations as examples.
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- """
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-
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-
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- examples = [
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- ["videos/My_second_ASL_professors_name_was_Will_White.mp4", "My second ASL professor's name was Will White"],
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- ['videos/You_are_my_sunshine.mp4', 'You are my sunshine'],
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- ['videos/scrub_your_hands_for_at_least_20_seconds.mp4', 'scrub your hands for at least 20 seconds'],
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- ['videos/no.mp4', 'no'],
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- ["videos/i_feel_rejuvenated_by_this_beautiful_weather.mp4","I feel rejuvenated by this beautiful weather"],
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- ["videos/north_dakota_they_dont_need.mp4","... north dakota they don't need ..."],
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- ]
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  # Gradio App interface
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  gr.Interface(fn=translate,
 
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  return {"translation":translation}
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  # Gradio App config
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+ title = ""
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ description = """"""
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+
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+ examples = []
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  # Gradio App interface
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  gr.Interface(fn=translate,