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115 lines
4.2 KiB
Python
115 lines
4.2 KiB
Python
from __future__ import annotations
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import time
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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, element_send_text
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models = {
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"meta-llama/Llama-2-7b-chat-hf": {"name": "Llama-2-7b"},
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"meta-llama/Llama-2-13b-chat-hf": {"name": "Llama-2-13b"},
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"meta-llama/Llama-2-70b-chat-hf": {"name": "Llama-2-70b"},
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"codellama/CodeLlama-7b-Instruct-hf": {"name": "Code-Llama-7b"},
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"codellama/CodeLlama-13b-Instruct-hf": {"name": "Code-Llama-13b"},
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"codellama/CodeLlama-34b-Instruct-hf": {"name": "Code-Llama-34b"},
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"gpt-3.5-turbo": {"name": "GPT-3.5-Turbo"},
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"gpt-3.5-turbo-instruct": {"name": "GPT-3.5-Turbo-Instruct"},
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"gpt-4": {"name": "GPT-4"},
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"palm": {"name": "Google-PaLM"},
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}
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class Poe(AbstractProvider):
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url = "https://poe.com"
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working = True
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needs_auth = True
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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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webdriver: WebDriver = None,
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user_data_dir: str = None,
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headless: bool = True,
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**kwargs
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) -> CreateResult:
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if not model:
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model = "gpt-3.5-turbo"
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elif model not in models:
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raise ValueError(f"Model are not supported: {model}")
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prompt = format_prompt(messages)
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session = WebDriverSession(webdriver, user_data_dir, headless, proxy=proxy)
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with session as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
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"source": """
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window._message = window._last_message = "";
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window._message_finished = false;
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class ProxiedWebSocket extends WebSocket {
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constructor(url, options) {
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super(url, options);
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this.addEventListener("message", (e) => {
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const data = JSON.parse(JSON.parse(e.data)["messages"][0])["payload"]["data"];
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if ("messageAdded" in data) {
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if (data["messageAdded"]["author"] != "human") {
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window._message = data["messageAdded"]["text"];
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if (data["messageAdded"]["state"] == "complete") {
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window._message_finished = true;
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}
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}
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}
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});
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}
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}
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window.WebSocket = ProxiedWebSocket;
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"""
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})
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try:
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driver.get(f"{cls.url}/{models[model]['name']}")
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wait = WebDriverWait(driver, 10 if headless else 240)
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
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except:
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# Reopen browser for login
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if not webdriver:
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driver = session.reopen()
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driver.get(f"{cls.url}/{models[model]['name']}")
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wait = WebDriverWait(driver, 240)
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
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else:
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raise RuntimeError("Prompt textarea not found. You may not be logged in.")
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element_send_text(driver.find_element(By.CSS_SELECTOR, "footer textarea[class^='GrowingTextArea']"), prompt)
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driver.find_element(By.CSS_SELECTOR, "footer button[class*='ChatMessageSendButton']").click()
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script = """
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if(window._message && window._message != window._last_message) {
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try {
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return window._message.substring(window._last_message.length);
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} finally {
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window._last_message = window._message;
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}
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} else if(window._message_finished) {
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return null;
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} else {
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return '';
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}
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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) |