https://github.com/nuhu-ibrahim/website-to-speech

This python code accepts a valid url, coverts it to an image, uses computer vision to predict what is on the website and then convert the prediction to speech that can be listened to.
https://github.com/nuhu-ibrahim/website-to-speech

computer-vision deep-learning helping-virtually-impaired machine-learning website-to-speech

Last synced: 24 days ago
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This python code accepts a valid url, coverts it to an image, uses computer vision to predict what is on the website and then convert the prediction to speech that can be listened to.

• Host: GitHub
• URL: https://github.com/nuhu-ibrahim/website-to-speech
• Owner: nuhu-ibrahim
• Created: 2021-02-28T18:49:28.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-07T06:03:57.000Z (almost 4 years ago)
• Last Synced: 2024-10-23T04:17:42.734Z (2 months ago)
• Topics: computer-vision, deep-learning, helping-virtually-impaired, machine-learning, website-to-speech
• Language: Jupyter Notebook
• Homepage:
• Size: 438 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Website to Speech

Created by [Nuhu Ibrahim](https://nuhuibrahim.com)

## Project Goals

The goal of this project is to develop a python script that:

1. Converts a valid web URL into an image,

2. Automatically Describe the image using a caption, 

3. and coverts the caption into audio so that it could be read aloud and listened to. 

This project aims to assist visually impaired people in gaining a general overview of a website so that they can infer if the website is worth spending time on or not. It is generally known that it takes a long time for people with visual impairment to go through a webpage completely.

Appreciation to the [Public APIs Github Repository](https://github.com/public-apis/public-apis.git) as all the APIs used in this project was first found there.

## Setting up the API Keys

### Part 1: Converting a website to an image

You will need to create an account with restpack [here](https://restpack.io/console/register) and then assign your access token to the "restpack_key" variable in the code.

### Part 2: Automatically describing the image using a simple caption

You will need to register with Cloudmersive website [here](https://account.cloudmersive.com/signup), create an api key and assign it to the "cloudmersive_key" variable in the code.

### Part 3: Converting the caption into an audio so that it could be read aloud

You need to first create an acount on the IBM text to speech website [here](https://cloud.ibm.com/registration?target=%2Fdocs%2Ftext-to-speech%2Fgetting-started.html), create an api key and then assign the key to the "ibm_text_to_speech_key" variable in the code below. You may also need to get the service url and assign it to the ibm_service_url variable

## Installing all required packages

For the python file to work effectively, you need to install the packages below from your terminal.

```bash

# Run the following commands on your terminal.

pip install cloudmersive-validate-api-client

pip install cloudmersive-image-api-client

pip install --upgrade "ibm-watson>=5.0.0"

pip install playsound

pip install -U PyObjC

pip install pathlib

pip install validators

```

## Running the program

```bash

# Run the following commands on your terminal from the project root directory.

python3 website_to_speech.py 

#URL is the web address of the page whose prediction you want to listen to aloud.

# ...and that is all.

```

## Thank you

If you find this code interesting or useful, kindly click on the like button and follow me for more.