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Delete TextFinder_OCR.ipynb

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- {
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- "nbformat": 4,
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- "nbformat_minor": 0,
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- "metadata": {
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- "colab": {
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- "provenance": [],
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- "authorship_tag": "ABX9TyOwQ4w24Db2H2H3L8r5Lezi"
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- },
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- "kernelspec": {
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- "name": "python3",
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- "display_name": "Python 3"
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- },
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- "language_info": {
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- "name": "python"
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- }
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- },
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- "cells": [
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- {
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- "cell_type": "code",
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- "source": [
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- "!pip install easyocr\n",
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- "!pip install gradio"
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- ],
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- },
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- "id": "PpdbHkqS3ncn",
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- "outputId": "d0b875d1-7f72-4038-85a1-048da65fb895"
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- },
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- "execution_count": 2,
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- "outputs": [
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- {
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- "output_type": "stream",
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- "name": "stdout",
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- "text": [
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- "\u001b[?25hInstalling collected packages: pydub, websockets, tomlkit, semantic-version, ruff, python-multipart, orjson, h11, ffmpy, aiofiles, uvicorn, starlette, httpcore, httpx, fastapi, gradio-client, gradio\n",
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- "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/",
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- "height": 643
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- "id": "Z6pITiXBz7ya",
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- "text": [
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- "WARNING:easyocr.easyocr:Neither CUDA nor MPS are available - defaulting to CPU. Note: This module is much faster with a GPU.\n"
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- },
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- {
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- "output_type": "stream",
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- "text": [
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- "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
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- "\n",
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- "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
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- "Running on public URL: https://f3bde23fdbb16324af.gradio.live\n",
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- "\n",
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- "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
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- },
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- {
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- "output_type": "display_data",
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- "data": {
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ],
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- "text/html": [
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- "<div><iframe src=\"https://f3bde23fdbb16324af.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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- },
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- "metadata": {}
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- }
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- ],
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- "source": [
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- "import gradio as gr\n",
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- "import easyocr\n",
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- "import re\n",
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- "\n",
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- "\n",
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- "r = easyocr.Reader(['en', 'hi'])\n",
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- "\n",
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- "def process_image(image, keyword):\n",
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- "\n",
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- " result = r.readtext(image, detail=0)\n",
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- " extracted_text = \" \".join(result)\n",
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- "\n",
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- "\n",
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- " color = \"#228B22\"\n",
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- " if keyword:\n",
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- " highlighted_text = re.sub(f\"({re.escape(keyword)})\",\n",
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- " f\"<mark style='background-color: {color};'>{keyword}</mark>\",\n",
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- " extracted_text,\n",
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- " flags=re.IGNORECASE)\n",
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- " else:\n",
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- " highlighted_text = extracted_text\n",
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- "\n",
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- "\n",
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- " if keyword and keyword.lower() in extracted_text.lower():\n",
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- " return f\"Keyword '{keyword}' found in the text.\", highlighted_text\n",
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- " else:\n",
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- " return f\"Keyword '{keyword}' not found.\", highlighted_text\n",
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- "\n",
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-
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- "interface = gr.Interface(\n",
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- " fn=process_image,\n",
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- " inputs=[\"image\", \"text\"],\n",
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- " outputs=[\"text\", \"html\"],\n",
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- " title=\" πŸ“ TextFinder OCR πŸ“\",\n",
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- " description=\"Input your image, get the text πŸ“œ and search for keywords πŸ”.....:)\"\n",
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- ")\n",
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- "\n",
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-
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- "if __name__ == \"__main__\":\n",
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- " interface.launch()"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "source": [],
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- "metadata": {
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- "id": "9_KyyRZh30y_"
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- },
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- "execution_count": null,
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- "outputs": []
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- }
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- ]
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- }