mirror of
https://github.com/xtekky/gpt4free.git
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3576dee75a
Load model and provider list in gui Remove needs_auth in HuggingChat Add default model and login url in gui
78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
from __future__ import annotations
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import time
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import os
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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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from selenium.webdriver.common.keys import Keys
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from ...typing import CreateResult, Messages
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from ..base_provider import BaseProvider
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from ..helper import format_prompt
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from ...webdriver import WebDriver, WebDriverSession
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class Bard(BaseProvider):
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url = "https://bard.google.com"
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working = True
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needs_auth = 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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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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try:
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driver.get(f"{cls.url}/chat")
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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, "div.ql-editor.textarea")))
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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}/chat")
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login_url = os.environ.get("G4F_LOGIN_URL")
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if login_url:
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yield f"Please login: [Google Bard]({login_url})\n\n"
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wait = WebDriverWait(driver, 240)
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
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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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# Add hook in XMLHttpRequest
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script = """
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const _http_request_open = XMLHttpRequest.prototype.open;
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window._message = "";
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XMLHttpRequest.prototype.open = function(method, url) {
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if (url.includes("/assistant.lamda.BardFrontendService/StreamGenerate")) {
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this.addEventListener("load", (event) => {
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window._message = JSON.parse(JSON.parse(this.responseText.split("\\n")[3])[0][2])[4][0][1][0];
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});
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}
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return _http_request_open.call(this, method, url);
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}
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"""
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driver.execute_script(script)
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# Submit prompt
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driver.find_element(By.CSS_SELECTOR, "div.ql-editor.textarea").send_keys(prompt)
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driver.find_element(By.CSS_SELECTOR, "div.ql-editor.textarea").send_keys(Keys.ENTER)
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# Yield response
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while True:
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chunk = driver.execute_script("return window._message;")
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if chunk:
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yield chunk
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return
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else:
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time.sleep(0.1) |