Customer: Hello?\nAgent: Hello.\nCustomer: Yeah.\nAgent: Yeah. NAME_1, This is Sunil from Sa Group Salesforce training. How are you?\nCustomer: Yeah. I'm good, Sorry.\nAgent: This. NAME_2, we had a conversation three of four days back. I hope you remember.\nCustomer: Yes. Yes.\nAgent: And then yeah.\nCustomer: Yeah. I've he busy with some something else I couldn't get back to you\nAgent: U\nCustomer: I think I have one question from the last talk we had. You said the on the payments will be applied in the Us dollars. Right?\nAgent: Absolutely. Mh.\nCustomer: So is that something which you can do in the canadian dollars? Because I'm from Canada. Right? And, you know, if I can convert that money just a little bit on a higher edge.\nAgent: Okay. So\nCustomer: If you can... If you can think about something, you know, if you can convert that or you you can charge with the dollars. You know that would be great.\n    \nemotion_list_<|speaker|>  : Identify all the emotions which can be extracted from the <|speaker|> dialogs,\nemotion_explanation_<|speaker|> : Generate explanation for each emotion found from the <|speaker|>  dialogs , .  No need to quote actual dialogs . explanation is a summary not referencing. \nquote_evidences_<|speaker|> :  quote the dialogs where these emotions were found in the <|speaker|> dialogs, along with the emotion names. quoted dialogs should have emotion labelled from emotion_list . \n\ngenerate output for  <|speaker|> = agent\ngenerate output for  <|speaker|> = customer\n    " Include at least 4 hashtags, starting with '#'
user