1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586 |
- 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": 2048,
- "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 = "";
- for (line of chunk.value.split("\\n")) {
- 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)
|