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Language Detection
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‎Language Detection/Language Detection.ipynb

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‎Language Detection/README.md

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# pblapi.github.io

‎Language Detection/app.py

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# importing libraries
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from flask import Flask, request, render_template
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import sklearn
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import pickle
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import pandas as pd
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import re
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import numpy as np
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from sklearn.feature_extraction.text import CountVectorizer
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from sklearn.naive_bayes import MultinomialNB
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from sklearn.preprocessing import LabelEncoder
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from googletrans import Translator
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le = LabelEncoder()
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app = Flask(__name__)
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@app.route('/')
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def home():
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return render_template("home.html")
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@app.route("/predict", methods = ["POST"])
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def predict():
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# loading the dataset
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data = pd.read_csv("language_detection.csv")
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y = data["Language"]
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# label encoding
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y = le.fit_transform(y)
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#loading the model and cv
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model = pickle.load(open("model.pkl", "rb"))
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cv = pickle.load(open("transform.pkl", "rb"))
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if request.method == "POST":
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# taking the input
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text = request.form["text"]
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# preprocessing the text
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text = re.sub(r'[!@#$(),\n"%^*?\:;~`0-9]', '', text)
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text = re.sub(r'[[]]', '', text)
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text = text.lower()
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dat = [text]
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# creating the vector
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vect = cv.transform(dat).toarray()
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# prediction
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my_pred = model.predict(vect)
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my_pred = le.inverse_transform(my_pred)
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return render_template("home.html", pred="{}".format(my_pred[0]))
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@app.route("/translate", methods=["POST"])
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def translate():
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translator = Translator()
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if request.method == "POST":
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# taking the input
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text = request.form["text"]
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# taking the target language
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target_lang = request.form["lang"]
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# translating the text
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translation = translator.translate(text, dest=target_lang)
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return render_template("home.html", translation=translation.text)
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if __name__ =="__main__":
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app.run(debug=True)

‎Language Detection/language_detection.csv

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‎Language Detection/model.pkl

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‎Language Detection/requirements.txt

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Flask==1.1.2
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scikit-learn==0.23.1
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numpy==1.18.5
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pandas==1.1.4
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regex==2020.11.13
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Werkzeug==1.0.1
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gunicorn

‎Language Detection/static/style.css

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body {
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font-family: Arial, sans-serif;
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font-size: 16px;
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}
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h1 {
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text-align: center;
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}
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form {
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margin: 20px auto;
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max-width: 500px;
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}
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label {
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display: block;
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margin-bottom: 5px;
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}
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textarea {
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display: block;
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width: 100%;
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padding: 10px;
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margin-bottom: 10px;
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border: 1px solid #ccc;
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border-radius: 3px;
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box-sizing: border-box;
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resize: vertical;
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}
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select {
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display: block;
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padding: 5px;
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margin-bottom: 10px;
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border: 1px solid #ccc;
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border-radius: 3px;
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box-sizing: border-box;
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}
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button[type="submit"] {
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display: block;
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padding: 10px 20px;
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background-color: #4CAF50;
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color: white;
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border: none;
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border-radius: 3px;
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cursor: pointer;
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}
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button[type="submit"]:hover {
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background-color: #3e8e41;
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}
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#result, #translation_result {
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margin: 20px auto;
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max-width: 500px;
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padding: 10px;
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border: 1px solid #ccc;
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border-radius: 3px;
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background-color: #f2f2f2;
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}

‎Language Detection/templates/home.html

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>Language Detection</title>
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<link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
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</head>
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<body>
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<h1>Language Detection</h1>
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<form id="language-detection" action="/predict" method="post">
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<label for="text">Enter text:</label>
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<textarea name="text" id="text" rows="5" cols="30"></textarea>
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<br>
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<button type="submit" name="action" value="detect">Detect language</button>
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</form>
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{% if pred %}
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<div id="result">
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<p>The entered text is in {{ pred }}</p>
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</div>
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{% endif %}
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</body>
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</html>

‎Language Detection/transform.pkl

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‎Readme.md

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# LINK SCRAPPER
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![Amazing-Python-Scripts](https://socialify.git.ci/avinashkranjan/Amazing-Python-Scripts/image?description=1&forks=1&issues=1&language=1&logo=https%3A%2F%2Fuser-images.githubusercontent.com%2F55796944%2F104455539-7258a200-55cd-11eb-90dc-7c9981e73d72.png&owner=1&pulls=1&stargazers=1&theme=Light)
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[![forthebadge](https://forthebadge.com/images/badges/built-by-developers.svg)](https://forthebadge.com)
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[![forthebadge](https://forthebadge.com/images/badges/built-with-love.svg)](https://forthebadge.com)
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[![forthebadge](https://forthebadge.com/images/badges/built-with-swag.svg)](https://forthebadge.com)
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[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
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- It is used to scrape links from any website and display it.
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[![GitHub issues](https://img.shields.io/github/issues/avinashkranjan/Amazing-Python-Scripts.svg)](https://github.com/avinashkranjan/Amazing-Python-Scripts/issues)
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[![GitHub issues closed](https://img.shields.io/github/issues-closed/avinashkranjan/Amazing-Python-Scripts.svg)](https://github.com/avinashkranjan/Amazing-Python-Scripts/issues?q=is%3Aissue+is%3Aclosed)
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[![GitHub pull requests](https://img.shields.io/github/issues-pr/avinashkranjan/Amazing-Python-Scripts.svg)](https://github.com/avinashkranjan/Amazing-Python-Scripts/pulls)
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[![GitHub pull requests](https://img.shields.io/github/issues-pr-closed/avinashkranjan/Amazing-Python-Scripts.svg)](https://github.com/avinashkranjan/Amazing-Python-Scripts/pulls?q=is%3Apr+is%3Aclosed) ![GitHub repo size](https://img.shields.io/github/repo-size/avinashkranjan/Amazing-Python-Scripts?color=yellow)
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![Lines of Code](https://img.shields.io/tokei/lines/github/avinashkranjan/Amazing-Python-Scripts?color=red&label=Lines%20of%20Code)
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<h2 align=center> 📑 Introduction </h2>
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## Setup instructions
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A curated collection of **Amazing Python scripts** from **_Basics to Advance with automation task scripts_**. This is your Personal space to find or add any new script
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that can make Life Easier for you, as a **_Developer_**, and find a utility of coding to burst out of boredom. Get started with coding exhilarating scripts that you can use to **_download PDFs from an Online Source or just to randomly like everyone's Instagram Post_**.
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Any PC with python 3 installed can run this code.
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<h2 align=center> 📃 Scripts Available </h2>
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<p align="center">
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<a href="https://github.com/avinashkranjan/Amazing-Python-Scripts/blob/master/SCRIPTS.md">
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<img src="https://forthebadge.com/images/badges/check-it-out.svg">
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</a>
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<h2 align=center> 👨🏻‍💻 How to get started? </h2>
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## Output
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image.png
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You can refer to the following articles on **_basics of Git and Github and also contact the Project Mentors, in case you are stuck_**:
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## Author(s)
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- [Forking a Repo](https://help.github.com/en/github/getting-started-with-github/fork-a-repo)
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- [Cloning a Repo](https://help.github.com/en/desktop/contributing-to-projects/creating-a-pull-request)
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- [How to create a Pull Request](https://opensource.com/article/19/7/create-pull-request-github)
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- [Getting started with Git and GitHub](https://towardsdatascience.com/getting-started-with-git-and-github-6fcd0f2d4ac6)
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Tanya Mohanka
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<h2 align=center> 📝 How to Contribute? </h2>
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- Take a look at [Contributing Guide](https://github.com/avinashkranjan/Amazing-Python-Scripts/blob/master/CONTRIBUTING.md)
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- Take a look at the Existing Issues or create your own Issues!
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- Wait for the Issue to be assigned to you after which you can start working on it.
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- Fork the Repo and create a Branch for any Issue that you are working upon.
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- Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.
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- Add Screenshots to help us know what this Script is all about.
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<h2 align=center> ✨ Contributors </h2>
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Thanks go to these **Wonderful People** 👨🏻‍💻: 🚀 **Contributions** of any kind are welcome!
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<table>
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<tr>
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<td>
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<a href="https://github.com/avinashkranjan/Amazing-Python-Scripts/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=avinashkranjan/Amazing-Python-Scripts" />
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</a>
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</td>
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</tr>
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</table>
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<h2 align=center> 🌟 Stargazers Over Time 🌟 </h2>
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[![Stargazers over time](https://starchart.cc/avinashkranjan/Amazing-Python-Scripts.svg)](https://starchart.cc/avinashkranjan/Amazing-Python-Scripts)
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<h1 align=center>Happy Coding 👨‍💻 </h1>

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