from __future__ import annotations import time, json, time from ...typing import CreateResult, Messages from ..base_provider import AbstractProvider from ...webdriver import WebDriver, WebDriverSession class TalkAi(AbstractProvider): url = "https://talkai.info" working = True supports_gpt_35_turbo = True supports_stream = True @classmethod def create_completion( cls, model: str, messages: Messages, stream: bool, proxy: str = None, webdriver: WebDriver = None, **kwargs ) -> CreateResult: with WebDriverSession(webdriver, "", virtual_display=True, proxy=proxy) as driver: from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC driver.get(f"{cls.url}/chat/") # Wait for page load WebDriverWait(driver, 240).until( EC.presence_of_element_located((By.CSS_SELECTOR, "body.chat-page")) ) data = { "type": "chat", "message": messages[-1]["content"], "messagesHistory": [{ "from": "you" if message["role"] == "user" else "chatGPT", "content": message["content"] } for message in messages], "model": model if model else "gpt-3.5-turbo", "max_tokens": 256, "temperature": 1, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0, **kwargs } script = """ const response = await fetch("/chat/send2/", { "headers": { "Accept": "application/json", "Content-Type": "application/json", }, "body": {body}, "method": "POST" }); window._reader = response.body.pipeThrough(new TextDecoderStream()).getReader(); """ driver.execute_script( script.replace("{body}", json.dumps(json.dumps(data))) ) # Read response while True: chunk = driver.execute_script(""" chunk = await window._reader.read(); if (chunk["done"]) { return null; } content = ""; lines = chunk["value"].split("\\n") lines.forEach((line, index) => { if (line.startsWith('data: ')) { content += line.substring('data: '.length); } }); return content; """) if chunk: yield chunk.replace("\\n", "\n") elif chunk != "": break else: time.sleep(0.1)