Update app.py

app.py

@@ -1,16 +1,22 @@
 from transformers import TrOCRProcessor, VisionEncoderDecoderModel
 import requests
 from PIL import Image
+import streamlit as st
 
+st.title("Duh!")
 processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten")
 model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten")
 
 # load image from the IAM dataset
-url = "https://fki.tic.heia-fr.ch/static/img/a01-122-02.jpg"
+url = "https://parivahan.gov.in/rcdlstatus/DispplayCaptcha?txtp_cd=1&bkgp_cd=2&noise_cd=2&gimp_cd=3&txtp_length=5&pfdrid_c=true?1429026471&pfdrid_c=true"
 image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
 
 pixel_values = processor(image, return_tensors="pt").pixel_values
 generated_ids = model.generate(pixel_values)
 
 generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
-print(generated_text)
+
+col1, col2 = st.columns(2)
+
+col1.image(image, use_column_width=True)
+col2.subheader(f"Detected Text: {generated_text}")