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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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models = models.keys() |
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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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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) |
