Spaces:
Sleeping
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Commit
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39c8302
1
Parent(s):
e1fbe20
added
Browse files- app.py +7 -1
- insert_dummy_data.py +0 -51
- packages.txt +2 -1
- requirements.txt +1 -0
app.py
CHANGED
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@@ -13,6 +13,7 @@ import pytesseract
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import re
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from openai import OpenAI
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import os
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from dotenv import load_dotenv
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from chatbot_utils import ask_receipt_chatbot
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import time
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@@ -178,7 +179,12 @@ def main():
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if uploaded_file is not None:
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# Display uploaded image
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st.image(image, caption="Uploaded Document", width=600)
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# Process button
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import re
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from openai import OpenAI
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import os
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from pdf2image import convert_from_bytes
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from dotenv import load_dotenv
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from chatbot_utils import ask_receipt_chatbot
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import time
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if uploaded_file is not None:
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# Display uploaded image
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if uploaded_file.type == "application/pdf":
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# Convert first page of PDF to image
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images = convert_from_bytes(uploaded_file.read())
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image = images[0] # Use the first page
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else:
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded Document", width=600)
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# Process button
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insert_dummy_data.py
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@@ -1,51 +0,0 @@
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import boto3
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# Initialize DynamoDB resource (ensure AWS credentials and region are set)
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dynamodb = boto3.resource('dynamodb', region_name='us-east-1') # Change region if needed
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table = dynamodb.Table('Receipts') # Replace with your table name
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# List of dummy items to insert with meaningful receipt numbers
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dummy_items = [
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{
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'receipt_no': 'RCPT-2024-0001',
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'amount_paid': '100.00',
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'date': '2024-01-01',
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'name': 'John Doe',
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'product': 'Widget A'
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},
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{
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'receipt_no': 'RCPT-2024-0002',
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'amount_paid': '250.50',
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'date': '2024-02-15',
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'name': 'Jane Smith',
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'product': 'Gadget B'
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},
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{
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'receipt_no': 'RCPT-2024-0003',
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'amount_paid': '75.25',
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'date': '2024-03-10',
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'name': 'Alice Johnson',
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'product': 'Thingamajig C'
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},
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{
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'receipt_no': 'RCPT-2024-0004',
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'amount_paid': '180.00',
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'date': '2024-04-05',
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'name': 'Bob Lee',
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'product': 'Gizmo D'
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},
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{
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'receipt_no': 'RCPT-2024-0005',
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'amount_paid': '320.75',
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'date': '2024-05-20',
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'name': 'Carol King',
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'product': 'Device E'
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}
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]
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# Insert each item
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for item in dummy_items:
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table.put_item(Item=item)
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print(f"Inserted: {item['receipt_no']}")
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print("Dummy data inserted successfully.")
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packages.txt
CHANGED
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@@ -1 +1,2 @@
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tesseract-ocr
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tesseract-ocr
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poppler-utils
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requirements.txt
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@@ -33,3 +33,4 @@ streamlit
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plotly==5.18.0
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matplotlib
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scikit-learn
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plotly==5.18.0
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matplotlib
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scikit-learn
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pdf2image
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