Update app.py
Browse files
app.py
CHANGED
@@ -79,7 +79,7 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
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return "Error: No predictions found."
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# Format the cart output
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cart_output = "\n".join(descriptions) + f"\n\nTotal Cart Value: {
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# Format the prediction results
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formatted_result = "\n".join([f"Product: {pred['product']} \t Prediction: {pred['prediction']} \t Confidence: {pred['confidence']}%" for pred in predictions])
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@@ -92,7 +92,7 @@ def predict_return(selected_products, total_customer_purchases, total_customer_r
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# Crea l'interfaccia Gradio con le checkbox a sinistra
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checkbox_choices = [
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f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} "
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f"\tType: {row['Product Type']} \tMaterial: {row['Main Material']} \tSales: {row['Net Sales (FA)']
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for _, row in inventory.iterrows()
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]
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return "Error: No predictions found."
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# Format the cart output
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cart_output = "\n".join(descriptions) + f"\n\nTotal Cart Value: {round(total_value, 2)} USD"
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# Format the prediction results
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formatted_result = "\n".join([f"Product: {pred['product']} \t Prediction: {pred['prediction']} \t Confidence: {pred['confidence']}%" for pred in predictions])
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# Crea l'interfaccia Gradio con le checkbox a sinistra
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checkbox_choices = [
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f"{row['Item Brand Model']}-{row['Item Brand Fabric']}-{row['Item Brand Colour']} "
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f"\tType: {row['Product Type']} \tMaterial: {row['Main Material']} \tSales: {round(row['Net Sales (FA)'], 2)} USD"
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for _, row in inventory.iterrows()
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]
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