mirror of
https://github.com/xtekky/gpt4free.git
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77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
from __future__ import annotations
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import time, json
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from ...typing import CreateResult, Messages
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from ..base_provider import AbstractProvider
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from ..helper import format_prompt
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from ...webdriver import WebDriver, WebDriverSession, bypass_cloudflare
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class MyShell(AbstractProvider):
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url = "https://app.myshell.ai/chat"
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working = False
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supports_gpt_35_turbo = True
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supports_stream = True
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@classmethod
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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timeout: int = 120,
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webdriver: WebDriver = None,
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**kwargs
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) -> CreateResult:
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with WebDriverSession(webdriver, "", proxy=proxy) as driver:
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bypass_cloudflare(driver, cls.url, timeout)
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# Send request with message
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data = {
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"botId": "4738",
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"conversation_scenario": 3,
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"message": format_prompt(messages),
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"messageType": 1
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}
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script = """
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response = await fetch("https://api.myshell.ai/v1/bot/chat/send_message", {
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"headers": {
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"accept": "application/json",
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"content-type": "application/json",
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"myshell-service-name": "organics-api",
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"visitor-id": localStorage.getItem("mix_visitorId")
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},
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"body": '{body}',
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"method": "POST"
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})
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window._reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
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"""
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driver.execute_script(script.replace("{body}", json.dumps(data)))
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script = """
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chunk = await window._reader.read();
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if (chunk.done) {
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return null;
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}
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content = '';
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chunk.value.split('\\n').forEach((line, index) => {
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if (line.startsWith('data: ')) {
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try {
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const data = JSON.parse(line.substring('data: '.length));
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if ('content' in data) {
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content += data['content'];
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}
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} catch(e) {}
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}
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});
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return content;
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"""
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while True:
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chunk = driver.execute_script(script)
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if chunk:
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yield chunk
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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