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Update my_app.py
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my_app.py
CHANGED
@@ -6,16 +6,18 @@ from tensorflow.keras import mixed_precision
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# Load your trained models
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#model1 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
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#model2 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
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model1 = from_pretrained_keras("ml-debi/
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with open('classes.txt', 'r') as f:
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classes = [line.strip() for line in f]
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# Add information about the models
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model1_info = """
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### Model
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This
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"""
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#model2_info = """
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# Load your trained models
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#model1 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
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#model2 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
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model1 = from_pretrained_keras("ml-debi/EfficientNetV2S-Food101")
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with open('classes.txt', 'r') as f:
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classes = [line.strip() for line in f]
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# Add information about the models
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model1_info = """
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### Model Information
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Welcome to my Hugging Face space, where gastronomy meets technology! This space is dedicated to an image classifier that has been trained on the Food101 dataset.
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At the core of this classifier lies the EfficientNetV2S base model, which has been fine-tuned to enhance its ability to identify a broad spectrum of food items with great accuracy.
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While it may not be perfect, it’s a nice tool for culinary exploration. Enjoy your journey through the world of food! 🍽️
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"""
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#model2_info = """
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