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このコミットが含まれているのは:
コミット
dc912e0fc9
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import requests
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class Completion:
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def create(prompt: str,
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model: str = 'openai:gpt-3.5-turbo',
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temperature: float = 0.7,
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max_tokens: int = 200,
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top_p: float = 1,
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top_k: int = 1,
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frequency_penalty: float = 1,
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presence_penalty: float = 1,
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stopSequences: list = []):
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token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
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'authority': 'play.vercel.ai',
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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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'referer': 'https://play.vercel.ai/',
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'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('=','')
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print(token)
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headers = {
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'authority': 'play.vercel.ai',
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'custom-encoding': token,
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'origin': 'https://play.vercel.ai',
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'referer': 'https://play.vercel.ai/',
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'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'
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}
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for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
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'prompt': prompt,
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'model': model,
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'temperature': temperature,
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'maxTokens': max_tokens,
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'topK': top_p,
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'topP': top_k,
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'frequencyPenalty': frequency_penalty,
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'presencePenalty': presence_penalty,
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'stopSequences': stopSequences}).iter_lines():
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yield (chunk)
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(async () => {
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let response = await fetch("https://play.vercel.ai/openai.jpeg", {
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"headers": {
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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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"sec-ch-ua": "\"Chromium\";v=\"112\", \"Google Chrome\";v=\"112\", \"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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},
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"referrer": "https://play.vercel.ai/",
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"referrerPolicy": "strict-origin-when-cross-origin",
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"body": null,
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"method": "GET",
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"mode": "cors",
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"credentials": "omit"
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});
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let data = JSON.parse(atob(await response.text()))
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let ret = eval("(".concat(data.c, ")(data.a)"));
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botPreventionToken = btoa(JSON.stringify({
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r: ret,
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t: data.t
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}))
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console.log(botPreventionToken);
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})()
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import requests
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from base64 import b64decode, b64encode
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from json import loads
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from json import dumps
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headers = {
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'Accept': '*/*',
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'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
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'Connection': 'keep-alive',
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'Referer': 'https://play.vercel.ai/',
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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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'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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}
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response = requests.get('https://play.vercel.ai/openai.jpeg', headers=headers)
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token_data = loads(b64decode(response.text))
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print(token_data)
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raw_token = {
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'a': token_data['a'] * .1 * .2,
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't': token_data['t']
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}
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print(raw_token)
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new_token = b64encode(dumps(raw_token, separators=(',', ':')).encode()).decode()
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print(new_token)
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import requests
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headers = {
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'authority': 'play.vercel.ai',
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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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'custom-encoding': new_token,
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'origin': 'https://play.vercel.ai',
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'referer': 'https://play.vercel.ai/',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "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/112.0.0.0 Safari/537.36',
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}
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json_data = {
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'prompt': 'hello\n',
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'model': 'openai:gpt-3.5-turbo',
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'temperature': 0.7,
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'maxTokens': 200,
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'topK': 1,
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'topP': 1,
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'frequencyPenalty': 1,
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'presencePenalty': 1,
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'stopSequences': [],
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}
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response = requests.post('https://play.vercel.ai/api/generate', headers=headers, json=json_data)
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print(response.text)
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@ -1,27 +0,0 @@
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import requests
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token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
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'authority': 'play.vercel.ai',
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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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'referer': 'https://play.vercel.ai/',
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'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 + '.'
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headers = {
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'authority': 'play.vercel.ai',
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'custom-encoding': token,
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'origin': 'https://play.vercel.ai',
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'referer': 'https://play.vercel.ai/',
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'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'
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}
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for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
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'prompt': 'hi',
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'model': 'openai:gpt-3.5-turbo',
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'temperature': 0.7,
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'maxTokens': 200,
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'topK': 1,
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'topP': 1,
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'frequencyPenalty': 1,
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'presencePenalty': 1,
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'stopSequences': []}).iter_lines():
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print(chunk)
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@ -0,0 +1,5 @@
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import vercelai
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for token in vercelai.Completion.create('summarize the gnu gpl 1.0'):
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print(token, end='', flush=True)
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