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1 Parent(s): 61c6f19

Update app.py

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  1. app.py +25 -2
app.py CHANGED
@@ -104,11 +104,34 @@ async def generate(image_id: str):
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  }
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  prompt = f"""
 
 
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  Extract expense details from the OCR text below:
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  {full_text}
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-
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- Fill all fields accurately.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """
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  try:
 
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  }
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  prompt = f"""
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+ You are an expense extraction AI.
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+
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  Extract expense details from the OCR text below:
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+ \"\"\"
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  {full_text}
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+ \"\"\"
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+
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+ ### Labeling Rules:
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+ 1. Detect the business/merchant name from the text (e.g., KFC, Starbucks, Ying Thai Kitchen).
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+ 2. If items are food or restaurant-related → label must be: "<Business Name> Restaurant".
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+ 3. If it's a store/retail → "<Business Name> Store".
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+ 4. If unclear, infer the closest meaningful category.
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+
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+ ### Notes Format:
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+ Always generate notes EXACTLY in this format:
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+ "Spent <total_amount> on <label> on <date>."
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+
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+ ### Required Output:
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+ Return structured JSON (via schema) with:
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+ - total_amount
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+ - label (following rules above)
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+ - date
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+ - time
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+ - payment_type
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+ - notes
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+
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+ Fill **every** field with the best possible inference.
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  """
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  try: