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t.me/xtekky 2023-04-28 23:54:35 +01:00
parent 8fe493a38a
commit dc912e0fc9
6 changed files with 146 additions and 27 deletions
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41
unfinished/vercelai/__init__.py Normal file
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import requests
class Completion:
def create(prompt: str,
model: str = 'openai:gpt-3.5-turbo',
temperature: float = 0.7,
max_tokens: int = 200,
top_p: float = 1,
top_k: int = 1,
frequency_penalty: float = 1,
presence_penalty: float = 1,
stopSequences: list = []):
token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
'authority': 'play.vercel.ai',
'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',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'}).text.replace('=','')
print(token)
headers = {
'authority': 'play.vercel.ai',
'custom-encoding': token,
'origin': 'https://play.vercel.ai',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
}
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
'prompt': prompt,
'model': model,
'temperature': temperature,
'maxTokens': max_tokens,
'topK': top_p,
'topP': top_k,
'frequencyPenalty': frequency_penalty,
'presencePenalty': presence_penalty,
'stopSequences': stopSequences}).iter_lines():
yield (chunk)

33
unfinished/vercelai/test.js Normal file
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(async () => {
let response = await fetch("https://play.vercel.ai/openai.jpeg", {
"headers": {
"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",
"sec-ch-ua": "\"Chromium\";v=\"112\", \"Google Chrome\";v=\"112\", \"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"
},
"referrer": "https://play.vercel.ai/",
"referrerPolicy": "strict-origin-when-cross-origin",
"body": null,
"method": "GET",
"mode": "cors",
"credentials": "omit"
});
let data = JSON.parse(atob(await response.text()))
let ret = eval("(".concat(data.c, ")(data.a)"));
botPreventionToken = btoa(JSON.stringify({
r: ret,
t: data.t
}))
console.log(botPreventionToken);
})()

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unfinished/vercelai/test.py Normal file
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import requests
from base64 import b64decode, b64encode
from json import loads
from json import dumps
headers = {
'Accept': '*/*',
'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
'Connection': 'keep-alive',
'Referer': 'https://play.vercel.ai/',
'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',
'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"',
}
response = requests.get('https://play.vercel.ai/openai.jpeg', headers=headers)
token_data = loads(b64decode(response.text))
print(token_data)
raw_token = {
'a': token_data['a'] * .1 * .2,
't': token_data['t']
}
print(raw_token)
new_token = b64encode(dumps(raw_token, separators=(',', ':')).encode()).decode()
print(new_token)
import requests
headers = {
'authority': 'play.vercel.ai',
'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',
'custom-encoding': new_token,
'origin': 'https://play.vercel.ai',
'referer': 'https://play.vercel.ai/',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "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/112.0.0.0 Safari/537.36',
}
json_data = {
'prompt': 'hello\n',
'model': 'openai:gpt-3.5-turbo',
'temperature': 0.7,
'maxTokens': 200,
'topK': 1,
'topP': 1,
'frequencyPenalty': 1,
'presencePenalty': 1,
'stopSequences': [],
}
response = requests.post('https://play.vercel.ai/api/generate', headers=headers, json=json_data)
print(response.text)

0
unfinished/vercelai/token.py Normal file
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27
unfinished/vercelai/v2.py
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import requests
token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
'authority': 'play.vercel.ai',
'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',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'}).text + '.'
headers = {
'authority': 'play.vercel.ai',
'custom-encoding': token,
'origin': 'https://play.vercel.ai',
'referer': 'https://play.vercel.ai/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
}
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
'prompt': 'hi',
'model': 'openai:gpt-3.5-turbo',
'temperature': 0.7,
'maxTokens': 200,
'topK': 1,
'topP': 1,
'frequencyPenalty': 1,
'presencePenalty': 1,
'stopSequences': []}).iter_lines():
print(chunk)

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unfinished/vercelai/vercelai_test.py Normal file
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import vercelai
for token in vercelai.Completion.create('summarize the gnu gpl 1.0'):
print(token, end='', flush=True)