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Update app.py
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app.py
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@@ -1,7 +1,7 @@
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import os
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import glob
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import gradio as gr
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from predict_cheque_parser import parse_cheque_with_donut
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##Create list of examples to be loaded
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example_list = glob.glob("examples/cheque_parser/*")
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This model can be further trained to parse additional details like MICR Code, Cheque Number, Account Number, etc. \
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Additionally, the app compares if the extracted legal & courtesy amount are matching which is an important check done during approval process of cheques. \
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It also checks if the cheque is stale. A cheque is considered stale if it is presented to the bank 3 months after the date mentioned on the cheque.")
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gr.Markdown("**Parsed Cheque Data**")
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payee_name = gr.Textbox(label="Payee Name")
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amts_matching = gr.Checkbox(label="Legal & Courtesy Amount Matching")
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stale_check = gr.Checkbox(label="Stale Cheque")
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with gr.
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gr.Markdown("**Predict**")
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with gr.Row():
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parse_cheque = gr.Button("Call Donut 🍩")
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parse_cheque.click(parse_cheque_with_donut, inputs=input_image_parse, outputs=[payee_name,amt_in_words,amt_in_figures,bank_name,cheque_date,amts_matching,stale_check])
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gr.Markdown('\n Solution built by: <a href=\"https://twitter.com/singhshiviii/\">Shivalika Singh</a>')
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demo.launch()
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import os
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import glob
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import gradio as gr
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#from predict_cheque_parser import parse_cheque_with_donut
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##Create list of examples to be loaded
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example_list = glob.glob("examples/cheque_parser/*")
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This model can be further trained to parse additional details like MICR Code, Cheque Number, Account Number, etc. \
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Additionally, the app compares if the extracted legal & courtesy amount are matching which is an important check done during approval process of cheques. \
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It also checks if the cheque is stale. A cheque is considered stale if it is presented to the bank 3 months after the date mentioned on the cheque.")
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with gr.Group():
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gr.Markdown("**Upload Cheque**")
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input_image_parse = gr.Image(type='filepath', label="Input Cheque")
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#with gr.Box():
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#gr.Markdown("**Upload Cheque**")
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#input_image_parse = gr.Image(type='filepath', label="Input Cheque")
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with gr.Group():
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gr.Markdown("**Parsed Cheque Data**")
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payee_name = gr.Textbox(label="Payee Name")
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amts_matching = gr.Checkbox(label="Legal & Courtesy Amount Matching")
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stale_check = gr.Checkbox(label="Stale Cheque")
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with gr.Group():
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gr.Markdown("**Predict**")
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with gr.Row():
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parse_cheque = gr.Button("Call Donut 🍩")
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parse_cheque.click(parse_cheque_with_donut, inputs=input_image_parse, outputs=[payee_name,amt_in_words,amt_in_figures,bank_name,cheque_date,amts_matching,stale_check])
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demo.launch(share=True)
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