mirror of
https://github.com/gradio-app/gradio.git
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73e98ddf15
* add required param but None * import torch req, add chunk_length_s import torch requirement for transformers enable inference for longer audio files * fix compononte initialization * input number is float, force int to multipy string * no need for Templates, fix class init * expects array * add requirements.txt for demo * update with cleaner syntax * add sample csv to fraud demo * adapt to new syntax * temp fix for Slider arguments * add dep to requirements * remove gr.Markdown from Interface init * fix default value param name * upgrade deepspeech, download models onstart * use path resolution consistent with other demos * remove redundant demo * add example to interface * fixed plotting issues * plots * deprecated carousel Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
14 lines
180 B
Python
14 lines
180 B
Python
import numpy as np
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import gradio as gr
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def snap(image):
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return np.flipud(image)
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demo = gr.Interface(snap, "webcam", "image")
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if __name__ == "__main__":
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demo.launch()
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