Update app.py

app.py

@@ -1,15 +1,59 @@
 import fitz  # PyMuPDF
 import pandas as pd
+import gradio as gr
+import tempfile
+import os
 
-# Load PDF and read text
-pdf_file = 'path_to_your_pdf.pdf'
-data = []
-with fitz.open(pdf_file) as pdf:
-    for page in pdf:
-        text = page.get_text()
-        # Parsing logic here for PO items and details
-        # Append parsed data as dict to data list
-        
-# Convert to DataFrame
-df = pd.DataFrame(data)
-df.to_excel('output_po_data.xlsx', index=False)
+def extract_po_to_excel(pdf_file):
+    # Load PDF and extract text
+    with fitz.open(pdf_file.name) as pdf:
+        data = []
+        for page_num in range(pdf.page_count):
+            page = pdf[page_num]
+            text = page.get_text("text")
+            
+            # Simple example of extraction (customize parsing as needed)
+            lines = text.splitlines()
+            for line in lines:
+                # Only extract lines with known keywords (sample logic; adjust as necessary)
+                if "Pos." in line or "Item Code" in line:
+                    data.append(line)
+
+    # Example structure, parse `data` into structured format
+    structured_data = []
+    for line in data:
+        # Custom parsing logic goes here; here's a basic split by spaces
+        # Adjust parsing to match your actual data needs
+        parts = line.split()
+        if len(parts) > 1:
+            structured_data.append({
+                "Position": parts[0],
+                "Item Code": parts[1],
+                # Extract other fields as needed
+            })
+
+    # Create DataFrame and export to Excel
+    df = pd.DataFrame(structured_data)
+    
+    # Save to temporary file
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".xlsx")
+    df.to_excel(temp_file.name, index=False)
+    temp_file.close()
+    
+    return temp_file.name
+
+def main(pdf_file):
+    excel_file_path = extract_po_to_excel(pdf_file)
+    return excel_file_path
+
+# Gradio interface
+interface = gr.Interface(
+    fn=main,
+    inputs=gr.inputs.File(label="Upload PO PDF"),
+    outputs=gr.outputs.File(label="Download Excel File"),
+    title="PDF to Excel Converter",
+    description="Upload a PO PDF file, and download it as an Excel sheet."
+)
+
+if __name__ == "__main__":
+    interface.launch()