AI Conversational Bots: A Comprehensive Guide for Developers

1import nltk
2from nltk.tokenize import word_tokenize
3
4nltk.download('punkt')  # Download required resource if you haven't already
5
6def tokenize_text(text):
7    tokens = word_tokenize(text)
8    return tokens
9
10text = "This is an example sentence for tokenization."
11tokens = tokenize_text(text)
12print(tokens)
13

1def get_response(user_input):
2    if "hello" in user_input.lower():
3        return "Hello! How can I help you today?"
4    elif "goodbye" in user_input.lower():
5        return "Goodbye! Have a great day!"
6    else:
7        return "I'm sorry, I don't understand. Please try again."
8
9user_input = "Hello"
10response = get_response(user_input)
11print(response)
12

1<script>
2  // Simple example of embedding a chatbot API into a website
3  // Replace 'YOUR_CHATBOT_API_ENDPOINT' with the actual API endpoint
4  function sendMessage(message) {
5    fetch('YOUR_CHATBOT_API_ENDPOINT', {
6      method: 'POST',
7      headers: {
8        'Content-Type': 'application/json'
9      },
10      body: JSON.stringify({ message: message })
11    })
12    .then(response => response.json())
13    .then(data => {
14      // Handle the chatbot's response
15      console.log(data.response);
16    })
17    .catch(error => {
18      console.error('Error:', error);
19    });
20  }
21</script>
22