mirror of https://github.com/xtekky/gpt4free
Merge branch 'main' into main
t.me/xtekky
1 year ago
committed by
GitHub
commit
e865fcbc5a
@ -0,0 +1,4 @@
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{
|
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"editor.tabCompletion": "on",
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"diffEditor.codeLens": true
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}
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@ -1,18 +0,0 @@
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### Example: `italygpt`
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```python
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# create an instance
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from gpt4free import italygpt
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italygpt = italygpt.Completion()
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# initialize api
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italygpt.init()
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# get an answer
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italygpt.create(prompt="What is the meaning of life?")
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print(italygpt.answer) # html formatted
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# keep the old conversation
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italygpt.create(prompt="Are you a human?", messages=italygpt.messages)
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print(italygpt.answer)
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```
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@ -1,28 +0,0 @@
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import requests, time, ast, json
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from bs4 import BeautifulSoup
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from hashlib import sha256
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class Completion:
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# answer is returned with html formatting
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next_id = None
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messages = []
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answer = None
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def init(self):
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r = requests.get("https://italygpt.it")
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soup = BeautifulSoup(r.text, "html.parser")
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self.next_id = soup.find("input", {"name": "next_id"})["value"]
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def create(self, prompt: str, messages: list = []):
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try:
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r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).json()
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except:
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r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).text
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if "too many requests" in r.lower():
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# rate limit is 17 requests per 1 minute
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time.sleep(20)
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return self.create(prompt, messages)
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self.next_id = r["next_id"]
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self.messages = ast.literal_eval(r["raw_messages"])
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self.answer = r["response"]
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return self
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@ -0,0 +1,4 @@
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import forefront
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token = forefront.Account.create()
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response = forefront.Completion.create(token=token, prompt='Hello!')
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print(response)
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@ -1,8 +0,0 @@
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# asyncio.run(gptbz.test())
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import requests
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image = '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'
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response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) # .split('base64,')[1])
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print(response.content)
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@ -1,41 +0,0 @@
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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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@ -1,33 +0,0 @@
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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({
|
||||
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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@ -1,67 +0,0 @@
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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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||||
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||||
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)
|
||||
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||||
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)
|
||||
@ -1,5 +0,0 @@
|
||||
import vercelai
|
||||
|
||||
for token in vercelai.Completion.create('summarize the gnu gpl 1.0'):
|
||||
print(token, end='', flush=True)
|
||||
|
||||
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Reference in New Issue