mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-26 12:41:56 +03:00
226 lines
8.8 KiB
Python
226 lines
8.8 KiB
Python
from __future__ import annotations
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import os
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import json
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import random
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import re
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from aiohttp import ClientSession, BaseConnector
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from ..helper import get_connector
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try:
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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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except ImportError:
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pass
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from ...typing import Messages, Cookies, ImageType, AsyncResult
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import format_prompt, get_cookies
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from ...requests.raise_for_status import raise_for_status
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from ...errors import MissingAuthError, MissingRequirementsError
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from ...image import to_bytes, ImageResponse
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from ...webdriver import get_browser, get_driver_cookies
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REQUEST_HEADERS = {
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"authority": "gemini.google.com",
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"origin": "https://gemini.google.com",
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"referer": "https://gemini.google.com/",
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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'x-same-domain': '1',
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}
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REQUEST_BL_PARAM = "boq_assistant-bard-web-server_20240201.08_p8"
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REQUEST_URL = "https://gemini.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate"
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UPLOAD_IMAGE_URL = "https://content-push.googleapis.com/upload/"
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UPLOAD_IMAGE_HEADERS = {
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"authority": "content-push.googleapis.com",
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.7",
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"authorization": "Basic c2F2ZXM6cyNMdGhlNmxzd2F2b0RsN3J1d1U=",
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"content-type": "application/x-www-form-urlencoded;charset=UTF-8",
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"origin": "https://gemini.google.com",
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"push-id": "feeds/mcudyrk2a4khkz",
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"referer": "https://gemini.google.com/",
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"x-goog-upload-command": "start",
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"x-goog-upload-header-content-length": "",
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"x-goog-upload-protocol": "resumable",
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"x-tenant-id": "bard-storage",
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}
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class Gemini(AsyncGeneratorProvider):
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url = "https://gemini.google.com"
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needs_auth = True
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working = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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api_key: str = None,
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cookies: Cookies = None,
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connector: BaseConnector = None,
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image: ImageType = None,
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image_name: str = None,
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**kwargs
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) -> AsyncResult:
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prompt = format_prompt(messages)
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if api_key is not None:
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if cookies is None:
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cookies = {}
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cookies["__Secure-1PSID"] = api_key
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cookies = cookies if cookies else get_cookies(".google.com", False, True)
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base_connector = get_connector(connector, proxy)
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async with ClientSession(
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headers=REQUEST_HEADERS,
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connector=base_connector
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) as session:
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snlm0e = await cls.fetch_snlm0e(session, cookies) if cookies else None
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if not snlm0e:
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driver = None
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try:
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driver = get_browser(proxy=proxy)
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try:
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driver.get(f"{cls.url}/app")
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WebDriverWait(driver, 5).until(
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EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea"))
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)
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except:
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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 Gemini]({login_url})\n\n"
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WebDriverWait(driver, 240).until(
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EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea"))
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)
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cookies = get_driver_cookies(driver)
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except MissingRequirementsError:
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pass
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finally:
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if driver:
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driver.close()
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if not snlm0e:
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if "__Secure-1PSID" not in cookies:
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raise MissingAuthError('Missing "__Secure-1PSID" cookie')
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snlm0e = await cls.fetch_snlm0e(session, cookies)
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if not snlm0e:
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raise RuntimeError("Invalid auth. SNlM0e not found")
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image_url = await cls.upload_image(base_connector, to_bytes(image), image_name) if image else None
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async with ClientSession(
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cookies=cookies,
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headers=REQUEST_HEADERS,
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connector=base_connector,
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) as client:
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params = {
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'bl': REQUEST_BL_PARAM,
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'_reqid': random.randint(1111, 9999),
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'rt': 'c'
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}
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data = {
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'at': snlm0e,
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'f.req': json.dumps([None, json.dumps(cls.build_request(
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prompt,
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image_url=image_url,
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image_name=image_name
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))])
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}
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async with client.post(
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REQUEST_URL,
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data=data,
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params=params,
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) as response:
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await raise_for_status(response)
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response = await response.text()
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response_part = json.loads(json.loads(response.splitlines()[-5])[0][2])
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if response_part[4] is None:
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response_part = json.loads(json.loads(response.splitlines()[-7])[0][2])
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content = response_part[4][0][1][0]
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image_prompt = None
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match = re.search(r'\[Imagen of (.*?)\]', content)
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if match:
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image_prompt = match.group(1)
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content = content.replace(match.group(0), '')
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yield content
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if image_prompt:
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images = [image[0][3][3] for image in response_part[4][0][12][7][0]]
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resolved_images = []
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preview = []
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for image in images:
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async with client.get(image, allow_redirects=False) as fetch:
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image = fetch.headers["location"]
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async with client.get(image, allow_redirects=False) as fetch:
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image = fetch.headers["location"]
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resolved_images.append(image)
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preview.append(image.replace('=s512', '=s200'))
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yield ImageResponse(resolved_images, image_prompt, {"orginal_links": images, "preview": preview})
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def build_request(
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prompt: str,
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conversation_id: str = "",
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response_id: str = "",
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choice_id: str = "",
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image_url: str = None,
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image_name: str = None,
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tools: list[list[str]] = []
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) -> list:
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image_list = [[[image_url, 1], image_name]] if image_url else []
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return [
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[prompt, 0, None, image_list, None, None, 0],
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["en"],
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[conversation_id, response_id, choice_id, None, None, []],
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None,
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None,
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None,
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[1],
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0,
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[],
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tools,
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1,
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0,
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]
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async def upload_image(connector: BaseConnector, image: bytes, image_name: str = None):
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async with ClientSession(
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headers=UPLOAD_IMAGE_HEADERS,
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connector=connector
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) as session:
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async with session.options(UPLOAD_IMAGE_URL) as reponse:
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await raise_for_status(response)
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headers = {
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"size": str(len(image)),
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"x-goog-upload-command": "start"
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}
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data = f"File name: {image_name}" if image_name else None
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async with session.post(
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UPLOAD_IMAGE_URL, headers=headers, data=data
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) as response:
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await raise_for_status(response)
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upload_url = response.headers["X-Goog-Upload-Url"]
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async with session.options(upload_url, headers=headers) as response:
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await raise_for_status(response)
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headers["x-goog-upload-command"] = "upload, finalize"
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headers["X-Goog-Upload-Offset"] = "0"
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async with session.post(
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upload_url, headers=headers, data=image
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) as response:
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await raise_for_status(response)
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return await response.text()
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@classmethod
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async def fetch_snlm0e(cls, session: ClientSession, cookies: Cookies):
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async with session.get(cls.url, cookies=cookies) as response:
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await raise_for_status(response)
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text = await response.text()
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match = re.search(r'SNlM0e\":\"(.*?)\"', text)
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if match:
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return match.group(1) |