How to create a simple AI with PHP programming language?

David Beroff

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Hi everyone,
I want to create a simple AI with PHP programming language to understand how AI works and how to develop it? can anyone shoot me a guide?
 

Dr. McKay

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Creating a simple AI with PHP can be done using various libraries and frameworks such as TensorFlow PHP, PHP-ML, and FANN. Here's an example of creating a simple chatbot using PHP-ML:

Install PHP-ML using Composer:

Code:
composer require php-ai/php-ml
Import the required classes:

Code:
use Phpml\Classification\KNearestNeighbors;
use Phpml\Dataset\ArrayDataset;
Define the chatbot responses:

Code:
$trainingSamples = [
    ['Hi there!', 'greeting'],
    ['Hello!', 'greeting'],
    ['Hey!', 'greeting'],
    ['Goodbye!', 'farewell'],
    ['Bye!', 'farewell'],
    ['See you later!', 'farewell'],
    ['How are you?', 'how_are_you'],
    ['How have you been?', 'how_are_you'],
    ['What can you do?', 'what_can_you_do']
];

$trainingLabels = array_column($trainingSamples, 1);
$trainingSamples = array_column($trainingSamples, 0);

$dataset = new ArrayDataset($trainingSamples, $trainingLabels);

$classifier = new KNearestNeighbors();
$classifier->train($dataset->getSamples(), $dataset->getTargets());
Get user input and classify it using the chatbot:

Code:
$input = "Hi there!";
$predictedLabel = $classifier->predict([$input]);

switch ($predictedLabel[0]) {
    case 'greeting':
        echo "Hello! How can I help you?";
        break;
    case 'farewell':
        echo "Goodbye! Have a nice day.";
        break;
    case 'how_are_you':
        echo "I'm doing well, thank you. How can I assist you today?";
        break;
    case 'what_can_you_do':
        echo "I can help you with general questions or concerns. Please let me know how I can assist you.";
        break;
    default:
        echo "I'm sorry, I didn't understand that. Can you please repeat?";
        break;
}
This is a very basic example of a chatbot using PHP-ML in PHP. You can expand upon this by adding more response pairs, creating more complex responses, or integrating with other libraries or APIs to add more functionality. Additionally, there are many other types of AI that you can create using PHP, such as machine learning models for image recognition, natural language processing, or predictive analytics.
 

David Beroff

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David Beroff
I have a list of websites on the internet, how to make this AI crawl these sites and get knowledge or data there and store into its memory ( for example Mysql database ) and answer when someone asks accordingly?
 

Dr. McKay

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Dr. McKay
Providing detailed code for a project of this scope is beyond the scope of what can be covered in a single response. However, I can provide a general overview of the steps involved and suggest some resources to help you get started.

Web Scraping:
To crawl and scrape websites in Python, you can use a library like Beautiful Soup or Scrapy. Here's a simple example using Beautiful Soup to scrape the titles of articles from a news website:

Code:
import requests
from bs4 import BeautifulSoup

url = 'https://www.example.com/news'

response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
articles = soup.find_all('h2', {'class': 'article-title'})

for article in articles:
    title = article.text.strip()
    # store the title in a MySQL database
Storing data in MySQL:
To store data in a MySQL database in Python, you can use the MySQL Connector/Python library. Here's an example:

Code:
import mysql.connector

mydb = mysql.connector.connect(
    host="localhost",
    user="yourusername",
    password="yourpassword",
    database="mydatabase"
)

mycursor = mydb.cursor()

sql = "INSERT INTO news (title) VALUES (%s)"
val = ("Example Article Title",)

mycursor.execute(sql, val)

mydb.commit()

print(mycursor.rowcount, "record inserted.")
Natural Language Processing:
To analyze the scraped data and identify patterns and keywords, you can use an NLP library like NLTK or spaCy. Here's an example using NLTK to tokenize and tag the text of an article:

Code:
import nltk

nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')

text = 'Example article text...'
tokens = nltk.word_tokenize(text)
tagged = nltk.pos_tag(tokens)

for word, pos in tagged:
    if pos == 'NN':
        # store the word as a keyword in a MySQL database
Chatbot Framework:
To build a chatbot, you can use a framework like Rasa or ChatterBot. Here's an example using ChatterBot to create a simple chatbot that responds to user input:

Code:
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer

chatbot = ChatBot('ExampleBot')
trainer = ChatterBotCorpusTrainer(chatbot)

# train the chatbot using a corpus of text data
trainer.train('chatterbot.corpus.english')

# get a response from the chatbot
response = chatbot.get_response('Hello!')

print(response)
These examples should give you a general idea of how to approach each of the tasks involved in building a chatbot that uses web scraping to retrieve data from websites and MySQL to store that data. For more detailed guidance, I recommend consulting the documentation for the libraries and frameworks mentioned, as well as tutorials and guides available online.
 
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