Language Translator.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "73d8a677",
   "metadata": {},
   "source": [
    "# Language Translator using Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1c4f5b6f",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "!pip install torch torchvision torchaudio   #installing pytorch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3ceda827",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
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     ]
    }
   ],
   "source": [
    "!pip install transformers ipywidgets gradio --upgrade  #installing/upgrading other dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a25ab06c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "from transformers import pipeline  #importing the dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "d4f1253d",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No model was supplied, defaulted to t5-base and revision 686f1db (https://huggingface.co/t5-base).\n",
      "Using a pipeline without specifying a model name and revision in production is not recommended.\n"
     ]
    }
   ],
   "source": [
    "translation_pipeline = pipeline('translation_en_to_fr') #Converts English to French"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "f5f856eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "results = translation_pipeline('My name is Rohit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "990a072b",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mon nom est Rohit'"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results[0]['translation_text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "8b55524b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def translate_transformers(from_text):\n",
    "    results = translation_pipeline(from_text)\n",
    "    return results[0]['translation_text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "dfd20a99",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\sasee\\anaconda3\\lib\\site-packages\\gradio\\inputs.py:27: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  warnings.warn(\n",
      "C:\\Users\\sasee\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  warnings.warn(value)\n",
      "C:\\Users\\sasee\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: `numeric` parameter is deprecated, and it has no effect\n",
      "  warnings.warn(value)\n"
     ]
    }
   ],
   "source": [
    "interface = gr.Interface(fn=translate_transformers, inputs=gr.inputs.Textbox(lines=5, placeholder = 'Enter Text'),\n",
    "                         outputs='text')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a6370b6f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7868\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><iframe src=\"http://127.0.0.1:7868/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interface.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f6b1330",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
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   "file_extension": ".py",
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