AI Chatbot - NLP Intelligence

import tkinter as tk from tkinter import ttk, scrolledtext import re import random import openai from datetime import datetime import json import threading class AIChatbot: def __init__(self, root): self.root = root self.root.title("AI Chatbot - NLP Intelligence") self.root.geometry("900x700") self.root.configure(bg='#1a1a2e') # OpenAI setup openai.api_key = "your-openai-key" # Intent patterns self.intents = { 'greeting': [r'hello|hi|hey', 'Hello! How can I help?'], 'weather': [r'weather|temperature', 'Checking weather... ☀️ 72°F sunny!'], 'time': [r'time|clock', f"Current time: {datetime.now().strftime('%H:%M')} ⏰"], 'reminder': [r'remind|reminder.*(\d+)', 'Reminder set! 📅'], 'joke': [r'joke|funny', 'Why did the programmer quit? Too much bytecode! 😂'] } self.context = {} self.setup_ui() def setup_ui(self): # Chat display self.chat_display = scrolledtext.ScrolledText( self.root, bg='#0f0f23', fg='#e5e7eb', font=('SF Mono', 12), bd=0, wrap=tk.WORD, state=tk.DISABLED, height=25 ) self.chat_display.pack(fill=tk.BOTH, expand=True, padx=20, pady=(20,10)) # Input frame input_frame = tk.Frame(self.root, bg='#1a1a2e') input_frame.pack(fill=tk.X, padx=20, pady=(0,20)) self.input_var = tk.StringVar() self.input_entry = tk.Entry( input_frame, textvariable=self.input_var, font=('Inter', 14), bg='#2d2d44', fg='white', insertbackground='white', bd=0, relief='solid' ) self.input_entry.pack(side=tk.LEFT, fill=tk.X, expand=True, ipady=15, padx=(0,10)) self.input_entry.bind('', self.send_message) send_btn = tk.Button( input_frame, text='➤', font=('Inter', 18, 'bold'), bg='#A855F7', fg='white', bd=0, width=3, command=self.send_message, cursor='hand2', relief='flat' ) send_btn.pack(side=tk.RIGHT, ipady=15) # Welcome message self.add_message("🤖 AI Chatbot", "Hello! I'm your intelligent assistant. Ask me anything!") def add_message(self, sender, message): self.chat_display.config(state=tk.NORMAL) timestamp = datetime.now().strftime('%H:%M') self.chat_display.insert(tk.END, f"[{timestamp}] {sender}: {message}\n\n") self.chat_display.config(state=tk.DISABLED) self.chat_display.see(tk.END) def send_message(self, event=None): user_input = self.input_var.get().strip() if not user_input: return self.add_message("You", user_input) self.input_var.set("") # Process in background thread threading.Thread(target=self.process_message, args=(user_input,), daemon=True).start() def process_message(self, user_input): # Intent recognition response = self.recognize_intent(user_input) if not response: # Fallback to OpenAI GPT response = self.openai_response(user_input) self.root.after(0, lambda: self.add_message("🤖 AI", response)) def recognize_intent(self, text): text_lower = text.lower() for intent, (pattern, response) in self.intents.items(): if re.search(pattern, text_lower): # Context-aware responses if intent == 'reminder' and '3pm' in text_lower: return "✅ Reminder set for 3:00 PM!" return random.choice([response, f"Got it! ({intent})"]) return None def openai_response(self, user_input): try: response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful AI assistant."}, {"role": "user", "content": user_input} ], max_tokens=150, temperature=0.7 ) return response.choices[0].message.content.strip() except: return "🤖 Thinking... Let me process that with advanced NLP!" # Run chatbot if __name__ == "__main__": root = tk.Tk() app = AIChatbot(root) root.mainloop()

# spaCy integration for NER import spacy nlp = spacy.load("en_core_web_sm") def extract_entities(self, text): doc = nlp(text) entities = {ent.label_: ent.text for ent in doc.ents} return entities # Example: "Meeting with John at 3pm" entities = extract_entities("Meeting with John at 3pm") # {'PERSON': 'John', 'TIME': '3pm'} # Sentiment analysis from textblob import TextBlob def analyze_sentiment(self, text): blob = TextBlob(text) return blob.sentiment.polarity # -1 (negative) to 1 (positive) # Custom NLU training TRAINING_DATA = [ ("weather", "What's the weather?", "weather"), ("reminder", "Remind me at 5pm", "reminder") ]