nkechiijeoma

nkechi ijeoma -WT-21-168/translator.ipynb

@@ -0,0 +1,168 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "\n",
+    "def register ():\n",
+    "    user_name= input( \"create a user name!\" )\n",
+    "    user_password= input (\"enter a password! \")\n",
+    "    if user_name :\n",
+    "        print (f'welcome { user_name } hope you enjoy using the system')\n",
+    "    else:\n",
+    "        print(\"please enter a user name\")\n",
+    "\n",
+    "def greet():\n",
+    "    print(\"hi, welcome this is nkechi's translator\")\n",
+    "    pass;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def translator(sentense):\n",
+    "    url = \"https://google-translate1.p.rapidapi.com/language/translate/v2\"\n",
+    "\n",
+    "    payload = \"q=\"+sentense+\" &target=es&source=en\"\n",
+    "\n",
+    "    headers = {\n",
+    "        'content-type': \"application/x-www-form-urlencoded\",\n",
+    "        'accept-encoding': \"application/gzip\",\n",
+    "        'x-rapidapi-key': \"3a6325ca5amsh1deed8e94b50cd7p1d0302jsn0f984cb4c696\",\n",
+    "        'x-rapidapi-host': \"google-translate1.p.rapidapi.com\"\n",
+    "        }\n",
+    "\n",
+    "    response = requests.request(\"POST\", url, data=payload, headers=headers)\n",
+    "\n",
+    "#     print(response.text)\n",
+    "    return response.json()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def transalator_app(sentenses):\n",
+    "    translated_sentenses = []\n",
+    "    for sentense in sentenses:\n",
+    "    \n",
+    "        translated_sentenses.append(translator(sentense))\n",
+    "#         print(sentense)\n",
+    "    \n",
+    "    print(translated_sentenses)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'data': {'translations': [{'translatedText': 'Qué está mal'}]}}, {'data': {'translations': [{'translatedText': 'estoy yendo a casa'}]}}, {'data': {'translations': [{'translatedText': 'Estoy enojado'}]}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "sentenses = ['What is Wrong','I am coming home','I am angry']\n",
+    "\n",
+    "transalator_app(sentenses)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def askForQuestionToBeTranslated():\n",
+    "    isFinished = 0\n",
+    "    question = \"\"\n",
+    "    question = input(\"Enter Your Question To Be Transalated\")\n",
+    "    questionList = []\n",
+    "    questionList.append(question)\n",
+    "    \n",
+    "    while isFinished == 0:\n",
+    "        response = input(\"Do you want to add another Question\")\n",
+    "        if response == \"No\":\n",
+    "            isFinished = 1\n",
+    "        else:\n",
+    "            question = input(\"Enter Your Question To Be Transalated\")\n",
+    "            questionList.append(question) \n",
+    "            \n",
+    "    return questionList"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hi, welcome this is nkechi's translator\n",
+      "create a user name!MIchael\n",
+      "enter a password! Ji\n",
+      "welcome MIchael hope you enjoy using the system\n",
+      "Enter Your Question To Be TransalatedI am here\n",
+      "Do you want to add another QuestionNo\n",
+      "[{'data': {'translations': [{'translatedText': 'Estoy aquí'}]}}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "greet()\n",
+    "register ()\n",
+    "transalator_app(askForQuestionToBeTranslated())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}