Upload app.py

app.py

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+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)