Advanced Telegram Bot Features

import openai
from telegram import Update
from telegram.ext import Application, MessageHandler, filters

class AIBot:
    def __init__(self, openai_key, bot_token):
        self.openai_client = openai.OpenAI(api_key=openai_key)
        self.app = Application.builder().token(bot_token).build()
        
    async def ai_response(self, update: Update, context):
        user_message = update.message.text
        
        response = await self.openai_client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": user_message}],
            max_tokens=150
        )
        
        await update.message.reply_text(response.choices[0].message.content)

import spacy
from textblob import TextBlob

nlp = spacy.load("en_core_web_sm")

async def analyze_sentiment(update: Update, context):
    text = update.message.text
    
    # Sentiment analysis
    blob = TextBlob(text)
    sentiment = blob.sentiment.polarity
    
    # Named entity recognition
    doc = nlp(text)
    entities = [(ent.text, ent.label_) for ent in doc.ents]
    
    response = f"Sentiment: {'Positive' if sentiment > 0 else 'Negative'}\n"
    response += f"Entities: {entities}"
    
    await update.message.reply_text(response)