Streamlit Replication of nielsr/TrOCR-handwritten

app.py

@@ -0,0 +1,24 @@
+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+from PIL import Image
+
+processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
+model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
+
+def process_image(image):
+  # prepare image
+  pixel_values = processor(image, return_tensors="pt").pixel_values
+  # generate (no beam search)
+  generated_ids = model.generate(pixel_values)
+  # decode
+  generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+  return generated_text
+
+########################## Streamlit Code ##########################
+import streamlit as st
+st.title('Streamlit Replication of nielsr/TrOCR-handwritten')
+uploaded_file = st.file_uploader("Choose an image...")
+if uploaded_file:
+  input_image = Image.open(uploaded_file)
+  st.image(uploaded_file, caption='Input Image', use_column_width=True)
+  generated_text = process_image(input_image)
+  st.write(generated_text)