JaehaerysNL/GPT4FREE
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phind major improvement ( stream )

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removed timeout error, added data streaming. Soon integration into gpt clone
This commit is contained in:
t.me/xtekky 2023-04-20 10:22:44 +01:00
parent b31d053191
commit b2459a5897
3 changed files with 141 additions and 28 deletions
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19
README.md
View file

@ -102,16 +102,27 @@ print(response.completion.choices[0].text)
### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
```python
# HELP WANTED: tls_client does not accept stream and timeout gets hit with long responses
import phind
prompt = 'hello world'
prompt = 'who won the quatar world cup'
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
# stream completion
for result in phind.StreamingCompletion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = ''): # up to 3000 chars of code
print(result.completion.choices[0].text, end='', flush=True)
# normal completion
result = phind.Completion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = '') # up to 3000 chars of code

125
phind/__init__.py
View file

@ -1,24 +1,11 @@
from urllib.parse import quote
from tls_client import Session
from time import time
from datetime import datetime
from queue import Queue, Empty
from threading import Thread
from re import findall
client = Session(client_identifier='chrome110')
client.headers = {
'authority': 'www.phind.com',
'accept': '*/*',
'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',
'content-type': 'application/json',
'origin': 'https://www.phind.com',
'referer': 'https://www.phind.com/search',
'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'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',
}
from curl_cffi.requests import post
class PhindResponse:
@ -81,11 +68,19 @@ class Search:
}
}
return client.post('https://www.phind.com/api/bing/search', json = {
headers = {
'authority' : 'www.phind.com',
'origin' : 'https://www.phind.com',
'referer' : 'https://www.phind.com/search',
'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',
}
return post('https://www.phind.com/api/bing/search', headers = headers, json = {
'q': prompt,
'userRankList': {},
'browserLanguage': language}).json()['rawBingResults']
class Completion:
def create(
model = 'gpt-4',
@ -121,8 +116,15 @@ class Completion:
}
}
headers = {
'authority' : 'www.phind.com',
'origin' : 'https://www.phind.com',
'referer' : f'https://www.phind.com/search?q={quote(prompt)}&c=&source=searchbox&init=true',
'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',
}
completion = ''
response = client.post('https://www.phind.com/api/infer/answer', json=json_data, timeout_seconds=200)
response = post('https://www.phind.com/api/infer/answer', headers = headers, json = json_data, timeout=99999)
for line in response.text.split('\r\n\r\n'):
completion += (line.replace('data: ', ''))
@ -143,3 +145,88 @@ class Completion:
'total_tokens' : len(prompt) + len(completion)
}
})
class StreamingCompletion:
message_queue = Queue()
stream_completed = False
def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
models = {
'gpt-4' : 'expert',
'gpt-3.5-turbo' : 'intermediate',
'gpt-3.5': 'intermediate',
}
json_data = {
'question' : prompt,
'bingResults' : results,
'codeContext' : codeContext,
'options': {
'skill' : models[model],
'date' : datetime.now().strftime("%d/%m/%Y"),
'language': language,
'detailed': detailed,
'creative': creative
}
}
stream_req = post('https://www.phind.com/api/infer/answer', json=json_data, timeout=99999,
content_callback = StreamingCompletion.handle_stream_response,
headers = {
'authority' : 'www.phind.com',
'origin' : 'https://www.phind.com',
'referer' : f'https://www.phind.com/search?q={quote(prompt)}&c=&source=searchbox&init=true',
'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',
})
StreamingCompletion.stream_completed = True
@staticmethod
def create(
model : str = 'gpt-4',
prompt : str = '',
results : dict = None,
creative : bool = False,
detailed : bool = False,
codeContext : str = '',
language : str = 'en'):
if results is None:
results = Search.create(prompt, actualSearch = True)
if len(codeContext) > 2999:
raise ValueError('codeContext must be less than 3000 characters')
Thread(target = StreamingCompletion.request, args = [
model, prompt, results, creative, detailed, codeContext, language]).start()
while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
try:
message = StreamingCompletion.message_queue.get(timeout=0)
for token in findall(r'(?<=data: )(.+?)(?=\r\n\r\n)', message.decode()):
yield PhindResponse({
'id' : f'cmpl-1337-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : model,
'choices': [{
'text' : token,
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
}],
'usage': {
'prompt_tokens' : len(prompt),
'completion_tokens' : len(token),
'total_tokens' : len(prompt) + len(token)
}
})
except Empty:
pass
@staticmethod
def handle_stream_response(response):
StreamingCompletion.message_queue.put(response)

15
testing/phind_test.py
View file

@ -2,6 +2,7 @@ import phind
prompt = 'hello world'
# normal completion
result = phind.Completion.create(
model = 'gpt-4',
prompt = prompt,
@ -11,3 +12,17 @@ result = phind.Completion.create(
codeContext = '') # up to 3000 chars of code
print(result.completion.choices[0].text)
prompt = 'who won the quatar world cup'
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
# stream completion
for result in phind.StreamingCompletion.create(
model = 'gpt-3.5',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = ''): # up to 3000 chars of code
print(result.completion.choices[0].text, end='', flush=True)