Create app.py

app.py

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