ImageToText / app.py
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Create app.py
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import gradio as gr
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
import requests
# Load the TrOCR model and processor
processor = TrOCRProcessor.from_pretrained('microsoft/trocr-large-printed')
model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-printed')
def extract_text_from_image(image_url):
image = Image.open(requests.get(image_url, stream=True).raw).convert("RGB")
pixel_values = processor(images=image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
return generated_text
# Create the Gradio interface
gr.Interface(
fn=extract_text_from_image,
inputs=gr.Textbox(label="Enter image URL:"),
outputs=gr.Textbox(label="Extracted Text"),
title="Text Extraction from Images",
description="Extract text from an image using optical character recognition (OCR).",
).launch()