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XFEstudio/gpt4free

updates

824d7259
t.me/xtekky <98614666+xtekky@users.noreply.github.com>
提交于
父提交 1f2f16f

代码差异

10 个文件 +3 -203
Deleted gpt4free/italygpt/README.md +0 -18
@@ -1,18 +0,0 @@
1 ### Example: `italygpt`
2
3 ```python
4 # create an instance
5 from gpt4free import italygpt
6 italygpt = italygpt.Completion()
7
8 # initialize api
9 italygpt.init()
10
11 # get an answer
12 italygpt.create(prompt="What is the meaning of life?")
13 print(italygpt.answer) # html formatted
14
15 # keep the old conversation
16 italygpt.create(prompt="Are you a human?", messages=italygpt.messages)
17 print(italygpt.answer)
18 ```
Deleted gpt4free/italygpt/__init__.py +0 -28
@@ -1,28 +0,0 @@
1 import requests, time, ast, json
2 from bs4 import BeautifulSoup
3 from hashlib import sha256
4
5 class Completion:
6 # answer is returned with html formatting
7 next_id = None
8 messages = []
9 answer = None
10
11 def init(self):
12 r = requests.get("https://italygpt.it")
13 soup = BeautifulSoup(r.text, "html.parser")
14 self.next_id = soup.find("input", {"name": "next_id"})["value"]
15
16 def create(self, prompt: str, messages: list = []):
17 try:
18 r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).json()
19 except:
20 r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).text
21 if "too many requests" in r.lower():
22 # rate limit is 17 requests per 1 minute
23 time.sleep(20)
24 return self.create(prompt, messages)
25 self.next_id = r["next_id"]
26 self.messages = ast.literal_eval(r["raw_messages"])
27 self.answer = r["response"]
28 return self
Modified gpt4free/quora/__init__.py +2 -2
@@ -104,8 +104,8 @@ class Model:
104 104 def create(
105 105 token: str,
106 106 model: str = 'gpt-3.5-turbo', # claude-instant
107 system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
108 description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
107 system_prompt: str = 'You are ChatGPT a large language model. Answer as consisely as possible',
108 description: str = 'gpt-3.5 language model',
109 109 handle: str = None,
110 110 ) -> ModelResponse:
111 111 if not handle:
Modified pyproject.toml +1 -1
@@ -1,5 +1,5 @@
1 1 [tool.poetry]
2 name = "openai-rev"
2 name = "gpt4free"
3 3 version = "0.1.0"
4 4 description = ""
5 5 authors = []
Deleted unfinished/test.py +0 -8
@@ -1,8 +0,0 @@
1 # asyncio.run(gptbz.test())
2
3 import requests
4
5 image = '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'
6
7 response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) # .split('base64,')[1])
8 print(response.content)
Deleted unfinished/vercelai/__init__.py +0 -41
@@ -1,41 +0,0 @@
1 import requests
2
3 class Completion:
4 def create(prompt: str,
5 model: str = 'openai:gpt-3.5-turbo',
6 temperature: float = 0.7,
7 max_tokens: int = 200,
8 top_p: float = 1,
9 top_k: int = 1,
10 frequency_penalty: float = 1,
11 presence_penalty: float = 1,
12 stopSequences: list = []):
13
14 token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
15 'authority': 'play.vercel.ai',
16 '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',
17 'referer': 'https://play.vercel.ai/',
18 '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('=','')
19
20 print(token)
21
22 headers = {
23 'authority': 'play.vercel.ai',
24 'custom-encoding': token,
25 'origin': 'https://play.vercel.ai',
26 'referer': 'https://play.vercel.ai/',
27 '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'
28 }
29
30 for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
31 'prompt': prompt,
32 'model': model,
33 'temperature': temperature,
34 'maxTokens': max_tokens,
35 'topK': top_p,
36 'topP': top_k,
37 'frequencyPenalty': frequency_penalty,
38 'presencePenalty': presence_penalty,
39 'stopSequences': stopSequences}).iter_lines():
40
41 yield (chunk)
Deleted unfinished/vercelai/test.js +0 -33
@@ -1,33 +0,0 @@
1 (async () => {
2
3 let response = await fetch("https://play.vercel.ai/openai.jpeg", {
4 "headers": {
5 "accept": "*/*",
6 "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",
7 "sec-ch-ua": "\"Chromium\";v=\"112\", \"Google Chrome\";v=\"112\", \"Not:A-Brand\";v=\"99\"",
8 "sec-ch-ua-mobile": "?0",
9 "sec-ch-ua-platform": "\"macOS\"",
10 "sec-fetch-dest": "empty",
11 "sec-fetch-mode": "cors",
12 "sec-fetch-site": "same-origin"
13 },
14 "referrer": "https://play.vercel.ai/",
15 "referrerPolicy": "strict-origin-when-cross-origin",
16 "body": null,
17 "method": "GET",
18 "mode": "cors",
19 "credentials": "omit"
20 });
21
22
23 let data = JSON.parse(atob(await response.text()))
24 let ret = eval("(".concat(data.c, ")(data.a)"));
25
26 botPreventionToken = btoa(JSON.stringify({
27 r: ret,
28 t: data.t
29 }))
30
31 console.log(botPreventionToken);
32
33 })()
Deleted unfinished/vercelai/test.py +0 -67
@@ -1,67 +0,0 @@
1 import requests
2 from base64 import b64decode, b64encode
3 from json import loads
4 from json import dumps
5
6 headers = {
7 'Accept': '*/*',
8 'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
9 'Connection': 'keep-alive',
10 'Referer': 'https://play.vercel.ai/',
11 'Sec-Fetch-Dest': 'empty',
12 'Sec-Fetch-Mode': 'cors',
13 'Sec-Fetch-Site': 'same-origin',
14 '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',
15 'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "Not:A-Brand";v="99"',
16 'sec-ch-ua-mobile': '?0',
17 'sec-ch-ua-platform': '"macOS"',
18 }
19
20 response = requests.get('https://play.vercel.ai/openai.jpeg', headers=headers)
21
22 token_data = loads(b64decode(response.text))
23 print(token_data)
24
25 raw_token = {
26 'a': token_data['a'] * .1 * .2,
27 't': token_data['t']
28 }
29
30 print(raw_token)
31
32 new_token = b64encode(dumps(raw_token, separators=(',', ':')).encode()).decode()
33 print(new_token)
34
35 import requests
36
37 headers = {
38 'authority': 'play.vercel.ai',
39 'accept': '*/*',
40 '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',
41 'content-type': 'application/json',
42 'custom-encoding': new_token,
43 'origin': 'https://play.vercel.ai',
44 'referer': 'https://play.vercel.ai/',
45 'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
46 'sec-ch-ua-mobile': '?0',
47 'sec-ch-ua-platform': '"macOS"',
48 'sec-fetch-dest': 'empty',
49 'sec-fetch-mode': 'cors',
50 'sec-fetch-site': 'same-origin',
51 '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',
52 }
53
54 json_data = {
55 'prompt': 'hello\n',
56 'model': 'openai:gpt-3.5-turbo',
57 'temperature': 0.7,
58 'maxTokens': 200,
59 'topK': 1,
60 'topP': 1,
61 'frequencyPenalty': 1,
62 'presencePenalty': 1,
63 'stopSequences': [],
64 }
65
66 response = requests.post('https://play.vercel.ai/api/generate', headers=headers, json=json_data)
67 print(response.text)
Deleted unfinished/vercelai/token.py +0 -0
此文件没有可显示的逐行差异。
Deleted unfinished/vercelai/vercelai_test.py +0 -5
@@ -1,5 +0,0 @@
1 import vercelai
2
3 for token in vercelai.Completion.create('summarize the gnu gpl 1.0'):
4 print(token, end='', flush=True)
5