File size: 580 Bytes
92af8f1 35030a7 48a6369 92af8f1 48a6369 35030a7 92af8f1 35030a7 dd9a8c6 92af8f1 35030a7 48a6369 35030a7 48a6369 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
import requests
from PIL import Image
import streamlit as st
from transformers import pipeline
pipe = pipeline("image-to-text", model="microsoft/trocr-large-printed")
st.title("Duh!")
# load image from the IAM dataset
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)
col1, col2 = st.columns(2)
predictions = pipeline(image)
col1.image(image, use_column_width=True)
col2.subheader(f"Detected Text: {predictions}") |