Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Create a Gradio interface from the pipeline
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interface = gr.Interface.from_pipeline(pipe, inputs="microphone", outputs="text")
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# Launch the interface
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interface.launch()
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline(task="image-classification",
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# model that can do 22k-category classification
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model="microsoft/beit-base-patch16-224-pt22k-ft22k")
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gr.Interface.from_pipeline(pipe,
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title="22k Image Classification",
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description="Object Recognition using Microsoft BEIT",
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examples = ['wonder_cat.jpg', 'aki_dog.jpg',],
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article = "Author: <a href=\"https://huggingface.co/rowel\">Rowel Atienza</a>",
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).launch()
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