DELETE /api/v1/conversation/[Your conversation ID] HTTP/2
Host: clova-x.naver.com
Cookie: [REDACTED]
Sec-Ch-Ua: 
Sec-Ch-Ua-Mobile: ?0
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.5845.111 Safari/537.36
Sec-Ch-Ua-Platform: ""
Accept: */*
Origin: https://clova-x.naver.com
Sec-Fetch-Site: same-origin
Sec-Fetch-Mode: cors
Sec-Fetch-Dest: empty
Referer: https://clova-x.naver.com/
Accept-Encoding: gzip, deflate, br
Accept-Language: ko-KR,ko;q=0.9,en-US;q=0.8,en;q=0.7

POST /api/v1/generate HTTP/2
Host: clova-x.naver.com
Cookie: [REDACTED]
Sec-Ch-Ua: 
Sec-Ch-Ua-Mobile: ?0
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.5845.111 Safari/537.36
Content-Type: multipart/form-data; boundary=----WebKitFormBoundaryCnwBRysesplYkoV4
Accept: */*, text/event-stream
Sec-Ch-Ua-Platform: ""
Origin: https://clova-x.naver.com
Sec-Fetch-Site: same-origin
Sec-Fetch-Mode: cors
Sec-Fetch-Dest: empty
Referer: https://clova-x.naver.com/
Accept-Encoding: gzip, deflate, br
Accept-Language: ko-KR,ko;q=0.9,en-US;q=0.8,en;q=0.7

------WebKitFormBoundaryCnwBRysesplYkoV4
Content-Disposition: form-data; name="form"; filename="blob"
Content-Type: application/json

{"text":"asdf","action":"new","skillSets":["shopping","travel"]}
------WebKitFormBoundaryCnwBRysesplYkoV4--

import pandas as pd
from clovax import ClovaX
data = pd.read_csv('~/spam552_final_test_small.csv')

content = """8개의 class중 하나로 주어진 텍스트를 분류해줘. 이 분류는 텍스트 마이닝을 위한 전처리야.
Classes: [`생활광고`, `생활거래`, ... , `정상글`]
아래에는 few-shot 예제가 있어.

Text: (생략)
Class: `생활광고`

... (생략) ...

"""

c = ClovaX()
c.get_cookie("~/clova-x.naver.com_cookies.txt")
def clova_gen(text):
    return c.start(content + text)['text']

outs=[clova_gen(text) for text in data['제목']+'\n'+data['내용']]

---------------------------------------------------------------------------
Exception                                 Traceback (most recent call last)
Cell In[14], line 1
----> 1 outs=[clova_gen(text) for text in data['제목']+'\n'+data['내용']]

Cell In[14], line 1, in (.0)
----> 1 outs=[clova_gen(text) for text in data['제목']+'\n'+data['내용']]

Cell In[11], line 4, in clova_gen(text)
      3 def clova_gen(text):
----> 4     return c.start(content + text)['text']

File [~/anaconda3/envs/garbagespam/lib/python3.11/site-packages/clovax/clovax.py:170](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/workspace/electra_garbagespam/~/anaconda3/envs/lucy3/lib/python3.11/site-packages/clovax/clovax.py:170), in ClovaX.start(self, prompt, skillsets)
    167 data = self._build_data("new", prompt, skillsets=skillsets)
    168 self.conversation_id = ""
--> 170 r = self._do_conversation(data)
    172 # Iterate event stream, get event and datas
    173 for line in r.iter_lines(decode_unicode=True):

File [~/anaconda3/envs/garbagespam/lib/python3.11/site-packages/clovax/clovax.py:132](https://vscode-remote+wsl-002bubuntu-002d22-002e04.vscode-resource.vscode-cdn.net/home/workspace/electra_garbagespam/~/anaconda3/envs/lucy3/lib/python3.11/site-packages/clovax/clovax.py:132), in ClovaX._do_conversation(self, data)
    130         raise clovax.errors.TooManyRequestsError()
    131     else:
--> 132         raise Exception(
    133             f"Error occurred while starting conversation. Error code: {r.status_code}"
    134         )
    135 r.encoding = "utf-8"
    136 return r

Exception: Error occurred while starting conversation. Error code: 500