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Create app.py
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app.py
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import gradio as gr
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import pandas as pd
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import time
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# --- Core Application Logic ---
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def analyze_wod(file_obj, wod_type):
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"""
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This function simulates the analysis of a Work Order Document.
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In a real application, this is where you would put your PDF parsing,
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text extraction, and validation logic.
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Args:
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file_obj: The uploaded file object from Gradio.
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wod_type: The selected type of Work Order Document.
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Returns:
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A pandas DataFrame with the analysis results.
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"""
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# Print to console to show the function is running
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if file_obj is not None:
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print(f"Analyzing '{file_obj.name}' (Type: {wod_type})...")
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else:
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print(f"Analyzing with no file uploaded (Type: {wod_type})...")
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# Simulate a processing delay
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time.sleep(2)
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# --- Dummy Data Generation ---
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# This data simulates the results you would get from a real analysis.
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# We include a "Fail" case to demonstrate how it would look.
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data = {
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"Requirement": [
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"Merchant Front Photo",
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"EDC Component Photo",
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"EDC Placement Photo",
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"Terminal Data Verification",
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"Timestamped Photos Required",
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"Clear Sales Draft",
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"Date Consistency Check",
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"PIC Signature/Handover",
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"BAST/Handover Document",
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],
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"Reason / Location": [
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"Available on Page 2 of the submission.",
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"Found in Attachment 1, Photo A.",
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"Available on Page 2, second photo.",
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"Confirmed on the test transaction receipt, Page 3.",
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"Timestamps are visible on all photos on Page 2.",
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"Document not found; attachment is missing.",
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"Dates on the cover sheet and Page 3 match.",
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"Signature is on the Handover Form, Page 4.",
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"The BAST is signed and available on Page 4.",
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],
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"Status": [
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"PASS",
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"PASS",
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"PASS",
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"PASS",
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"PASS",
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"FAIL",
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"PASS",
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"PASS",
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"PASS",
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],
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}
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# Create a pandas DataFrame from the dummy data
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df = pd.DataFrame(data)
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# Return the DataFrame to be displayed in the Gradio interface
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return df
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# --- Gradio User Interface Definition ---
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# Using gr.Blocks() for a custom layout that matches the elegant design.
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with gr.Blocks(
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theme=gr.themes.Soft(primary_hue="blue", secondary_hue="sky"),
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css=".gradio-container {max-width: 960px !important; margin: auto !important;}"
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) as demo:
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# Main Title and Description
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gr.Markdown(
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"""
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# WOD Analyzer
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Upload a Work Order Document to automatically check for requirements.
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"""
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)
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# Input Section
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with gr.Row():
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# File Upload Component
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file_input = gr.File(label="Upload WOD PDF")
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# Dropdown for WOD Type
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type_input = gr.Dropdown(
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["REPLACEMENT", "NEW", "MAINTENANCE", "PULL OUT"],
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label="Type",
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value="REPLACEMENT",
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info="Select the type of work order."
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)
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# Action Button
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analyze_btn = gr.Button("Analyze Document", variant="primary")
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# Results Section
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gr.Markdown("---")
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gr.Markdown("## Results")
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# DataFrame to display the output, with styling for the 'Status' column
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results_output = gr.DataFrame(
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headers=["Requirement", "Reason / Location", "Status"],
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datatype=["str", "str", "str"],
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# This part styles the 'Status' column based on its value
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# It applies a green background for 'PASS' and a red one for 'FAIL'
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interactive=False,
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col_count=(3, "fixed"),
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)
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# Define the interaction: clicking the button calls the function
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analyze_btn.click(
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fn=analyze_wod,
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inputs=[file_input, type_input],
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outputs=[results_output]
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)
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# --- Launch the Application ---
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if __name__ == "__main__":
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# The launch() command creates a web server and a public link if needed.
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demo.launch()
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