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  1. app.py +0 -1
app.py CHANGED
@@ -58,7 +58,6 @@ def predict(img) -> Tuple[Dict, float]:
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  # Create title, description and article strings
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  title = r"FoodVision Mini 🍕🍗🥗"
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  description = """
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- # FoodVision Mini
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  FoodVision Mini is a hands-on project inspired by Daniel Bourke's PyTorch tutorial series, focusing on food image classification. Throughout this project, I developed essential skills in **deep learning**, particularly in utilizing **transfer learning** techniques with the **EfficientNetB2** architecture to optimize model performance.
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  # Create title, description and article strings
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  title = r"FoodVision Mini 🍕🍗🥗"
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  description = """
 
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  FoodVision Mini is a hands-on project inspired by Daniel Bourke's PyTorch tutorial series, focusing on food image classification. Throughout this project, I developed essential skills in **deep learning**, particularly in utilizing **transfer learning** techniques with the **EfficientNetB2** architecture to optimize model performance.
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