mirror of https://github.com/xtekky/gpt4free
phind.com api (gpt-4 + internet) best answers
t.me/xtekky
1 year ago
parent
24ad26e7f1
commit
6c64e459b3
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from urllib.parse import quote
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from tls_client import Session
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from time import time
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from datetime import datetime
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client = Session(client_identifier='chrome110')
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client.headers = {
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'authority': 'www.phind.com',
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'content-type': 'application/json',
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'origin': 'https://www.phind.com',
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'referer': 'https://www.phind.com/search',
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'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
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}
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class PhindResponse:
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class Completion:
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class Choices:
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def __init__(self, choice: dict) -> None:
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self.text = choice['text']
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self.content = self.text.encode()
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self.index = choice['index']
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self.logprobs = choice['logprobs']
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self.finish_reason = choice['finish_reason']
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def __repr__(self) -> str:
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return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
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def __init__(self, choices: dict) -> None:
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self.choices = [self.Choices(choice) for choice in choices]
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class Usage:
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def __init__(self, usage_dict: dict) -> None:
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self.prompt_tokens = usage_dict['prompt_tokens']
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self.completion_tokens = usage_dict['completion_tokens']
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self.total_tokens = usage_dict['total_tokens']
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def __repr__(self):
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return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
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def __init__(self, response_dict: dict) -> None:
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self.response_dict = response_dict
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self.id = response_dict['id']
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self.object = response_dict['object']
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self.created = response_dict['created']
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self.model = response_dict['model']
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self.completion = self.Completion(response_dict['choices'])
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self.usage = self.Usage(response_dict['usage'])
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def json(self) -> dict:
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return self.response_dict
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class Search:
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def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
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if not actualSearch:
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return {
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'_type': 'SearchResponse',
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'queryContext': {
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'originalQuery': prompt
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},
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'webPages': {
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'webSearchUrl': f'https://www.bing.com/search?q={quote(prompt)}',
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'totalEstimatedMatches': 0,
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'value': []
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},
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'rankingResponse': {
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'mainline': {
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'items': []
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}
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}
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}
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return client.post('https://www.phind.com/api/bing/search', json = {
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'q': prompt,
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'userRankList': {},
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'browserLanguage': language}).json()['rawBingResults']
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class Completion:
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def create(
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model = 'gpt-4',
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prompt: str = '',
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results: dict = None,
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creative: bool = False,
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detailed: bool = False,
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codeContext: str = '',
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language: str = 'en') -> PhindResponse:
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if results is None:
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results = Search.create(prompt, actualSearch = True)
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if len(codeContext) > 2999:
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raise ValueError('codeContext must be less than 3000 characters')
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models = {
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'gpt-4' : 'expert',
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'gpt-3.5-turbo' : 'intermediate',
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'gpt-3.5': 'intermediate',
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}
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json_data = {
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'question' : prompt,
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'bingResults' : results, #response.json()['rawBingResults'],
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'codeContext' : codeContext,
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'options': {
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'skill' : models[model],
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'date' : datetime.now().strftime("%d/%m/%Y"),
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'language': language,
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'detailed': detailed,
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'creative': creative
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}
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}
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completion = ''
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response = client.post('https://www.phind.com/api/infer/answer', json=json_data, timeout_seconds=200)
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for line in response.text.split('\r\n\r\n'):
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completion += (line.replace('data: ', ''))
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return PhindResponse({
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'id' : f'cmpl-1337-{int(time())}',
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'object' : 'text_completion',
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'created': int(time()),
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'model' : models[model],
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'choices': [{
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'text' : completion,
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'index' : 0,
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'logprobs' : None,
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'finish_reason' : 'stop'
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}],
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'usage': {
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'prompt_tokens' : len(prompt),
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'completion_tokens' : len(completion),
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'total_tokens' : len(prompt) + len(completion)
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}
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})
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@ -0,0 +1,13 @@
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import phind
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prompt = 'hello world'
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result = phind.Completion.create(
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model = 'gpt-4',
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prompt = prompt,
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results = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
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creative = False,
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detailed = False,
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codeContext = '') # up to 3000 chars of code
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print(result.completion.choices[0].text)
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