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Update app.py
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app.py
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@@ -1,4 +1,6 @@
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import gradio as gr
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model = gr.load("models/dima806/indian_food_image_detection")
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# Create a Gradio interface with the custom title
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@@ -7,12 +9,8 @@ iface = gr.Interface(
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inputs=gr.Image(type="filepath"),
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outputs="label",
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title="CAPSTONE",
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description="Upload an image of Indian food to detect what it is."
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examples=[
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["examples/example1.jpg"],
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["examples/example2.jpg"]
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]
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)
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# Launch the Gradio interface
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iface.launch()
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import gradio as gr
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# Load the pre-trained model from Hugging Face
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model = gr.load("models/dima806/indian_food_image_detection")
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# Create a Gradio interface with the custom title
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inputs=gr.Image(type="filepath"),
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outputs="label",
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title="CAPSTONE",
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description="Upload an image of Indian food to detect what it is."
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)
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# Launch the Gradio interface
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iface.launch()
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