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import gradio as gr
from transformers import AutoModel, AutoTokenizer
import os
import re
# Load the model and tokenizer from local path
# Assuming your model and tokenizer are stored in '/content/model' directory in Colab
model_path = 'pranavdaware/web_ocr'
# Load the model and tokenizer from the local directory
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda', use_safetensors=True)
model = model.eval().cuda()
# Function to extract text using OCR
def ocr_processing(image_file):
try:
# Perform OCR on the uploaded image
result = model.chat(tokenizer, image_file, ocr_type='ocr')
return result
except Exception as e:
return str(e)
# Function to search for keywords in extracted text
def search_keyword(ocr_text, keyword):
try:
# Use regex to search for the keyword and highlight matches
matches = re.findall(rf"({keyword})", ocr_text, re.IGNORECASE)
if matches:
highlighted_text = re.sub(rf"({keyword})", r'<mark>\1</mark>', ocr_text, flags=re.IGNORECASE)
return highlighted_text
else:
return f"No matches found for '{keyword}' in the extracted text."
except Exception as e:
return str(e)
# Gradio interface
def main():
# Gradio app layout
with gr.Blocks() as demo:
gr.Markdown("# OCR and Keyword Search Application")
with gr.Row():
with gr.Column():
image_input = gr.Image(type="filepath", label="Upload your image")
keyword_input = gr.Textbox(label="Enter keyword to search")
ocr_output = gr.Textbox(label="OCR Output")
search_output = gr.HTML(label="Search Results")
# Button for OCR processing
process_button = gr.Button("Process Image for OCR")
# Connect the OCR processing function to the button
process_button.click(
fn=ocr_processing,
inputs=image_input,
outputs=ocr_output
)
# Button for keyword search
search_button = gr.Button("Search Keyword in OCR Text")
# Connect the search function to the button
search_button.click(
fn=search_keyword,
inputs=[ocr_output, keyword_input],
outputs=search_output
)
# Launch the Gradio demo
demo.launch()
if __name__ == "__main__":
main()
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