You are given a conversation between two people.'Person1:' and 'Person2:' are used to separate their respective dialogues. You have to classify if there exist more than 2 unique emotions in conversation. If there are more than 2 unique emotions present in the conversation, the output should be classified as '1' else it should be '0'
Example: Person1: Excuse me , when is the next train to Los Angeles ?
Person2: 10:15 a . m .
Person1: Can I get the ticket here ?
Person2: Sorry . You have to buy your ticket at the next counter .
Person1: Thank you .
Example solution: 1
Example explanation: This conversation has multiple emotions because of unavailability of the ticket at the given counter and the happiness at the end due to gratitude

Problem: Person1: Hi , Sara , what are you reading ?
Person2: Hi , John , I am trying to find a carpenter .
Person1: Why ?
Person2: Well , I want to build a deck in my back yard .
Person1: What for ?
Person2: So I can have a special place to hang out with friends , and also do some barbecuing on weekends .
Person1: That sounds cool . Do you mind if I recommend myself for the job ?
Person2: You ? Do you have a carpenter's license ?
Person1: Yes , of course . But I only freelance on weekends with my uncle .
Person2: Wow ! That's cool . So , let me give you some details about the deck I want .
Person1: Please go ahead , I am listening .
Person2: I'd like my deck to be at the same level as the back door .
Person1: Is your back door higher than the ground level ?
Person2: Yes , the back door is about four or five steps higher than the ground .
Person1: Okay , then you need a deck with a guardrail .
Person2: I don't like things to be fancy .
Person1: Don't worry . I will build your deck with a simple but classic look .
Person2: Hmm , that's good . Can you use cedar or redwood to build it ?
Person1: Cedar is a good choice .
Person2: Well , let's take the measurements right now .
Solution: 1