Upload app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from transformers import pipeline
+from PIL import Image
+
+nlp = pipeline(
+ "document-question-answering",
+ model="impira/layoutlm-document-qa",
+)
+st.title("DocVPA Demo")
+
+file_name = st.file_uploader("Upload a document/image(.pdf, .png, .jpeg, .jpg)")
+
+question = st.text_input("Write your question regarding to your document")
+
+if file_name is not None:
+ col1, col2 = st.columns(2)
+
+ image = Image.open(file_name)
+ col1.image(image, use_column_width=True)
+ 
+if st.button("Send"):
+ predictions = nlp(image, question)
+ st.write(predictions)