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#predicting the streaming kafka messages
consumer = KafkaConsumer('twitter-stream',bootstrap_servers=\['localhost:9092'])
print("Starting ML predictions.")
for message in consumer:
X_new_counts = count_vect.transform([message.value])
X_new_tfidf = tfidf_transformer.transform(X_new_counts)
predicted = load_model.predict(X_new_tfidf)
print(message.value+" => "+fetch_train_dataset(categories).target_names[predicted[0]])
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