Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from gradio_pdf import PDF
+from pdf2image import convert_from_path
+from transformers import pipeline
+from pathlib import Path
+
+dir_ = Path(__file__).parent
+
+p = pipeline(
+    "document-question-answering",
+    model="impira/layoutlm-document-qa",
+)
+
+def qa(question: str, doc: str) -> str:
+    img = convert_from_path(doc)[0]
+    output = p(img, question)
+    return sorted(output, key=lambda x: x["score"], reverse=True)[0]['answer']
+
+
+demo = gr.Interface(
+    qa,
+    [gr.Textbox(label="Question"), PDF(label="Document")],
+    gr.Textbox(),
+    examples=[["What is the total gross worth?", str(dir_ / "invoice_2.pdf")],
+              ["Whos is being invoiced?", str(dir_ / "sample_invoice.pdf")]]
+)
+
+if __name__ == "__main__":
+    demo.launch()