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File size: 2,077 Bytes
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import sys
import json
import datetime
import urllib.parse
from curl_cffi import requests
config = json.loads(sys.argv[1])
prompt = config['messages'][-1]['content']
skill = 'expert' if config['model'] == 'gpt-4' else 'intermediate'
json_data = json.dumps({
'question': prompt,
'options': {
'skill': skill,
'date': datetime.datetime.now().strftime('%d/%m/%Y'),
'language': 'en',
'detailed': True,
'creative': True,
'customLinks': []}}, separators=(',', ':'))
headers = {
'Content-Type': 'application/json',
'Pragma': 'no-cache',
'Accept': '*/*',
'Sec-Fetch-Site': 'same-origin',
'Accept-Language': 'en-GB,en;q=0.9',
'Cache-Control': 'no-cache',
'Sec-Fetch-Mode': 'cors',
'Content-Length': str(len(json_data)),
'Origin': 'https://www.phind.com',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.4 Safari/605.1.15',
'Referer': f'https://www.phind.com/search?q={urllib.parse.quote(prompt)}&source=searchbox',
'Connection': 'keep-alive',
'Host': 'www.phind.com',
'Sec-Fetch-Dest': 'empty'
}
def output(chunk):
try:
if b'PHIND_METADATA' in chunk:
return
if chunk == b'data: \r\ndata: \r\ndata: \r\n\r\n':
chunk = b'data: \n\r\n\r\n'
chunk = chunk.decode()
chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\r\n\r\n')
chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
print(chunk, flush=True, end = '')
except json.decoder.JSONDecodeError:
pass
while True:
try:
response = requests.post('https://www.phind.com/api/infer/answer',
headers=headers, data=json_data, content_callback=output, timeout=999999, impersonate='safari15_5')
exit(0)
except Exception as e:
print('an error occured, retrying... |', e, flush=True)
continue |