Test your English pronunciation with Pronounce

Fernando Groders — Mon, 11 Apr 2022 22:34:47 +0000

Overview of My Submission

Pronounce is a simple way to test your English pronunciation where you will receive a random quote, read it and receive the feedback.

Submission Category:

Analytics Ambassadors
Wacky Wildcards

Link to Code on GitHub

FeGroders / pronounce

A simple way to practice your English pronunciation. Made using Next.js

Pronounce

A simple way to practice your English pronunciation

Technologies | How To Use | License

🚀 Technologies

This project was developed with the following technologies:

📘 How To Use

Creating a repository from a template First of all you need to create a .env file with the following variable: API_DEEPGRAM={YOUR API DEEPGRAM}

To start developing, you'll need Git and Node.js or Yarn installed on your computer. From your command line:

# Install dependencies
$ npm i
#or
$ yarn
# To run the backend server
$ npm run dev
#or
$ yarn dev

#To run the front end locally in development mode with live reload:
$ npm run front
# or
$ yarn front

#To see the results locally in production mode:
$ npm run build
$ npm run start
# or
$ yarn build
$ yarn

…

View on GitHub

Additional Resources / Info

Main Screen

Feedback Screen

Future Improvements

I wish i had more time to finish everything that i wanted but the basic idea it's functional. Some things that could be improved:

Add more languages;
Better UI/UX;
Play the correct pronunciation of the quote;
Remove the fixed time to record the audio;

[NOTE]: This is my first Hackathon, I wish I had more time to finish everything but I choose to use two new frameworks (Next.js and Express.js) that i've never worked with before. There is a lot of things to improve but I'm very proud of what I did. If you saw something I could have done differently, feel free to comment. I'm always looking to improve

How to create a Twitter Bot using Python and Tweepy (Quick and Easy)

Fernando Groders — Tue, 24 Aug 2021 16:18:10 +0000

Hey guys, today you are going to learn how to develop a Twitter bot using Python and a library called Tweepy.
Founded in March 2006, Twitter is available in 40 languages and has about 335 million active users per month. Offering users a space for conversation and to share written content, photos and videos, Twitter is one of the most famous social networks.

Getting your API keys
Install Tweepy
Authenticate your App
Example Bot
Inspiring Examples

Getting your API keys on Twitter for Developers

First of all, to connect your bot with your Twitter account, you need to use the Twitter API. To get your API keys you need a Twitter account. If you don't have one you can create here
Now you will get the access to Twitter for Developers. After accessing it, click on Developer Portal.
Complete your app’s registration by answering the form.
After that, go to Projects & Apps -> Your App -> Edit app permissions
Here you can find your app permissions and the API keys. After generating the credentials, save them to later use in your code.

Install Tweepy

Before start coding, you need to install the library that we are going to use. The easiest way to install it is using PIP. (If you don't have PIP installed, Click here. In your CMD:

# Install Tweepy
$ pip install tweepy

Authenticate your App

Now it's time to start the fun part, coding. First of all create a file called "twitter.py". Open it in your IDE and add this code:

# Import Tweepy
import tweepy

# Change with your API keys
API_KEY = ['API_KEY'] 
API_KEY_SECRET = ['API_KEY_SECRET'] 
ACCESS_TOKEN = ['ACCESS_TOKEN']
ACCESS_SECRET = ['ACCESS_SECRET']

# Connect with the API
auth = tweepy.OAuthHandler(API_KEY, API_KEY_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)

# Add your code

Ok, now you have the basic to create a functional bot, but I will give you an example of a bot that answer “@user Hello World” when somebody mention him.

Example Bot

After doing the previous steps, you will need a function to save the last ID answered by the bot. Create a file called "lastId.txt" and put "1" inside without the quotation marks. Then add this code in your twitter.py file:

fileName = 'lastId.txt'
# Function to save the last id answered on ./lastId.txt
def saveLastId(lastId, fileName): 
    f_write = open(fileName, 'w')
    f_write.write(str(lastId))
    f_write.close()
    return

If you have a function to save the ID, you need one to read what your bot saved or it will answer always the same tweet

# Function to read the last id that is saved on ./lastId.txt
def readLastId(fileName): 
    f_read = open(fileName, 'r') 
    ultimo_id_lido = int(f_read.read().strip())
    f_read.close()
    return ultimo_id_lido

After that, we will create a function to answer the tweets

# Function to answer a mention
def tweet():
    print('BOT WORKING...')
    lastId = readLastId(fileName) # Get the last ID
    mentions = api.mentions_timeline(lastId, tweet_mode='extended') # Get all mentions since the last ID
    for mention in reversed(mentions): # Reads the mentions in reverse order
        if '@youruser'.upper() in mention.full_text.upper(): # Verifies if your bot was mentioned 
            lastId = mention.id
            print(str(mention.id) + ' - ' + mention.full_text) # Prints the mention
            saveLastId(lastId, fileName) #Save the last id 
            print('Answering tweet')
            message = 'Hello @{}!'.format(mention.user.screen_name) # Message to be sent
            api.update_status(status=message, in_reply_to_status_id=mention) # Reply to the mention

And to finish the code, we will add a loop to make the bot work every 30 seconds. As we are using "time", then we need to add the import on the top of the file.

import time

In the last line of the file:

#Loop that runs the bot every 30 seconds
while True: 
    tweet()  
    time.sleep(30)

So the final file would be something like:

# Import Tweepy
import tweepy
import time

# Change with your API keys
API_KEY =['API_KEY'] 
API_KEY_SECRET = ['API_KEY_SECRET'] 
ACCESS_TOKEN = ['ACCESS_TOKEN']
ACCESS_SECRET = ['ACCESS_SECRET']

# Connect with the API
auth = tweepy.OAuthHandler(API_KEY, API_KEY_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)
api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True)

fileName = 'lastId.txt'
# Function to save the last id answered on ./lastId.txt
def saveLastId(lastId, fileName): 
    f_write = open(fileName, 'w')
    f_write.write(str(lastId))
    f_write.close()
    return

# Function to read the last id that is saved on ./lastId.txt
def readLastId(fileName): 
    f_read = open(fileName, 'r') 
    ultimo_id_lido = int(f_read.read().strip())
    f_read.close()
    return ultimo_id_lido

# Function to answer a mention
def tweet():
    print('BOT WORKING...')
    lastId = readLastId(fileName) # Get the last ID
    mentions = api.mentions_timeline(lastId, tweet_mode='extended') # Get all mentions since the last ID
    for mention in reversed(mentions): # Reads the mentions in reverse order
        if '@youruser'.upper() in mention.full_text.upper(): # Verifies if your bot was mentioned 
            lastId = mention.id
            print(str(mention.id) + ' - ' + mention.full_text) # Prints the mention
            saveLastId(lastId, fileName) #Save the last id 
            print('Answering tweet')
            message = 'Hello @{}!'.format(mention.user.screen_name) # Message to be sent
            api.update_status(status=message, in_reply_to_status_id=mention) # Reply to the mention

#Loop that runs the bot every 30 seconds
while True: 
    tweet()  
    time.sleep(30)

Now you just need to run the file “Twitter.py” and your bot will start working. If you want you can create a .exe and make it work in second plan. But this will become another tutorial.

Inspiring Examples

Of course this is a very simple example of a bot, but you can create very advanced bots using Tweepy. If you want to read all the possibilities, you can read Tweepy's documentation here. Now it's time to be creative and create bots. If you are not a creative person here are some examples of Twitter bots to inspire you:

Now you are ready to create AWESOME Twitter bots. The next step is upload your bot and run it on Cloud, but this is a topic that will become another article.
If you have any doubts, you can contact me here:

Thanks for reading, if you like it and learned something, like the post, comment and share with others developers! :D

Forem: Fernando Groders