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import requests |
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from PIL import Image |
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import streamlit as st |
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from transformers import pipeline |
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pipe = pipeline("image-to-text", model="microsoft/trocr-large-printed") |
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st.title("Duh!") |
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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" |
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image = Image.open(requests.get(url, stream=True).raw).convert("RGB") |
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col1, col2 = st.columns(2) |
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predictions = pipeline(image) |
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col1.image(image, use_column_width=True) |
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col2.subheader(f"Detected Text: {predictions}") |
