Create app.py

app.py

@@ -0,0 +1,12 @@
+import streamlit as st
+from transformers import pipeline
+import pytesseract
+from PIL import Image
+nlp = pipeline("document-question-answering",model = "naver-clova-ix/donut-base-finetuned-docvqa")
+
+st.title("DocumentAI Entity Extractor")
+file_name = st.file_uploader("Upload an invoice image")
+
+image = Image.open(file_name)
+outputs = nlp(image,"what is the nature of transaction?")
+print(outputs[0]['answer'])