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import tweepy
from textblob import TextBlob

# Twitter API credentials
consumer_key = 'your_consumer_key'
consumer_secret = 'your_consumer_secret'
access_token = 'your_access_token'
access_token_secret = 'your_access_token_secret'

# Authenticate with Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

# Function to analyze sentiment using TextBlob
def analyze_sentiment(text):
    analysis = TextBlob(text)
    return analysis.sentiment.polarity

# Function to reply to tweets
def reply_to_tweets(query, num_tweets):
    tweets = tweepy.Cursor(api.search, q=query, lang='en').items(num_tweets)

    for tweet in tweets:
        user = tweet.user.screen_name
        tweet_id = tweet.id
        tweet_text = tweet.text

        # Analyze sentiment
        sentiment_score = analyze_sentiment(tweet_text)

        # Reply based on sentiment
        if sentiment_score > 0:
            reply = "I'm glad you're feeling positive! 😊"
        elif sentiment_score < 0:
            reply = "I'm sorry to hear that you're feeling down. 😢"
        else:
            reply = "Neutral vibes! 😐"

        # Reply to the tweet
        api.update_status(status=f"@{user} {reply}", in_reply_to_status_id=tweet_id)

# Example usage
query = 'AI chatbot'
num_tweets = 5
reply_to_tweets(query, num_tweets)
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