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Update app.py
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app.py
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@@ -333,57 +333,20 @@ def empty_df():
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"Credit", "Closing Balance", "Category"])
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# Gradio Interface
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# if __name__ == "__main__":
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# interface.launch()
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with gr.Blocks(title="AI Bank Statement Parser") as interface:
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gr.Markdown("# AI Bank Statement Parser")
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gr.Markdown("Extract structured transaction data from PDF/Excel bank statements")
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with gr.Row():
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file_input = gr.File(label="Upload Bank Statement (PDF/Excel)")
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with gr.Row():
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submit_btn = gr.Button("Process Statement", variant="primary")
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with gr.Row():
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dataframe_output = gr.Dataframe(
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label="Parsed Transactions",
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headers=["Date", "Description", "Amount", "Debit", "Credit", "Closing Balance", "Category"],
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datatype=["date", "str", "number", "number", "number", "number", "str"]
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)
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with gr.Row():
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download_pdf = gr.File(label="Download Report", interactive=False)
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download_btn = gr.Button("Generate PDF Report")
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# Processing function
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submit_btn.click(
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fn=process_file,
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inputs=[file_input],
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outputs=[dataframe_output, download_pdf]
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)
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# Download button handler
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download_btn.click(
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fn=lambda df: generate_pdf_report(df) if df is not None and not df.empty else None,
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inputs=[dataframe_output],
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outputs=[download_pdf]
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)
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if __name__ == "__main__":
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interface.launch()
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"Credit", "Closing Balance", "Category"])
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# Gradio Interface
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interface = gr.Interface(
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fn=process_file,
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inputs=[
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gr.File(label="Upload Bank Statement (PDF/Excel)")
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],
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outputs=gr.Dataframe(
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label="Parsed Transactions",
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headers=["Date", "Description", "Amount", "Debit", "Credit", "Closing Balance", "Category"],
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datatype=["date", "str", "number", "number", "number", "number", "str"]
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),
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title="AI Bank Statement Parser",
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description="Extract structured transaction data from PDF/Excel bank statements",
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allow_flagging="never"
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)
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if __name__ == "__main__":
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interface.launch()
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