mirror of https://github.com/xtekky/gpt4free
another merge
Bagus Indrayana
1 year ago
commit
6f999d5151
@ -0,0 +1,74 @@
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import requests, json
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from abc import ABC, abstractmethod
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from ..typing import Any, CreateResult
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class Equing(ABC):
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url: str = 'https://next.eqing.tech/'
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working = True
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needs_auth = False
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supports_stream = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = False
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@staticmethod
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@abstractmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool,
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**kwargs: Any) -> CreateResult:
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headers = {
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'authority': 'next.eqing.tech',
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'accept': 'text/event-stream',
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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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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': 'https://next.eqing.tech',
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'plugins': '0',
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'pragma': 'no-cache',
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'referer': 'https://next.eqing.tech/',
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'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
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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/115.0.0.0 Safari/537.36',
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'usesearch': 'false',
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'x-requested-with': 'XMLHttpRequest',
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}
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json_data = {
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'messages': messages,
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'stream': stream,
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'model': model,
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'temperature': kwargs.get('temperature', 0.5),
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'presence_penalty': kwargs.get('presence_penalty', 0),
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'frequency_penalty': kwargs.get('frequency_penalty', 0),
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'top_p': kwargs.get('top_p', 1),
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}
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response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
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headers=headers, json=json_data, stream=stream)
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for line in response.iter_content(chunk_size=1024):
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if line:
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if b'content' in line:
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line_json = json.loads(line.decode('utf-8').split('data: ')[1])
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token = line_json['choices'][0]['delta'].get('content')
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if token:
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yield token
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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@ -0,0 +1,83 @@
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import requests, json, random
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from abc import ABC, abstractmethod
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from ..typing import Any, CreateResult
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class FastGpt(ABC):
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url: str = 'https://chat9.fastgpt.me/'
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working = True
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needs_auth = False
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supports_stream = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = False
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@staticmethod
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@abstractmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool,
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**kwargs: Any) -> CreateResult:
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headers = {
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'authority': 'chat9.fastgpt.me',
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'accept': 'text/event-stream',
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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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'cache-control': 'no-cache',
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'content-type': 'application/json',
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# 'cookie': 'cf_clearance=idIAwtoSCn0uCzcWLGuD.KtiAJv9a1GsPduEOqIkyHU-1692278595-0-1-cb11fd7a.ab1546d4.ccf35fd7-0.2.1692278595; Hm_lvt_563fb31e93813a8a7094966df6671d3f=1691966491,1692278597; Hm_lpvt_563fb31e93813a8a7094966df6671d3f=1692278597',
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'origin': 'https://chat9.fastgpt.me',
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'plugins': '0',
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'pragma': 'no-cache',
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'referer': 'https://chat9.fastgpt.me/',
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'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
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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/115.0.0.0 Safari/537.36',
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'usesearch': 'false',
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'x-requested-with': 'XMLHttpRequest',
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}
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json_data = {
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'messages': messages,
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'stream': stream,
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'model': model,
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'temperature': kwargs.get('temperature', 0.5),
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'presence_penalty': kwargs.get('presence_penalty', 0),
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'frequency_penalty': kwargs.get('frequency_penalty', 0),
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'top_p': kwargs.get('top_p', 1),
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}
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subdomain = random.choice([
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'jdaen979ew',
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'chat9'
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])
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response = requests.post(f'https://{subdomain}.fastgpt.me/api/openai/v1/chat/completions',
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headers=headers, json=json_data, stream=stream)
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for line in response.iter_lines():
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if line:
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try:
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if b'content' in line:
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line_json = json.loads(line.decode('utf-8').split('data: ')[1])
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token = line_json['choices'][0]['delta'].get('content')
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if token:
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yield token
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except:
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continue
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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@ -0,0 +1,2 @@
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flask_cors
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watchdog~=3.0.0
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