Chatbot Conversational AI: A Developer's Guide to Building Intelligent Chatbots

1import nltk
2from nltk.sentiment.vader import SentimentIntensityAnalyzer
3
4nltk.download('vader_lexicon')
5
6def analyze_sentiment(text):
7    sid = SentimentIntensityAnalyzer()
8    scores = sid.polarity_scores(text)
9    return scores
10
11text = "This is a great chatbot!"
12sentiment = analyze_sentiment(text)
13print(sentiment) # Output: {'neg': 0.0, 'neu': 0.406, 'pos': 0.594, 'compound': 0.6249}
14

1from transformers import pipeline
2
3def generate_response(prompt):
4    generator = pipeline('text-generation', model='gpt2')
5    response = generator(prompt, max_length=50, num_return_sequences=1)[0]['generated_text']
6    return response
7
8
9prompt = "What is the capital of France?"
10response = generate_response(prompt)
11print(response)
12# Example output: What is the capital of France? Paris is the capital city of France, situated in the northern-central part of
13

1intents:
2  - name: greetings
3    training_phrases:
4      - hello
5      - hi
6      - good morning
7    messages:
8      - text:
9          text:
10            - Hello!
11            - Hi there!
12

1// Simple chatbot integration with a website
2const chatButton = document.getElementById('chat-button');
3const chatWindow = document.getElementById('chat-window');
4
5chatButton.addEventListener('click', () => {
6  chatWindow.style.display = 'block';
7});
8