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from __future__ import annotations
import os
import json
import random
import re
import base64
from aiohttp import ClientSession, BaseConnector
try:
import nodriver
has_nodriver = True
except ImportError:
has_nodriver = False
from ... import debug
from ...typing import Messages, Cookies, ImageType, AsyncResult, AsyncIterator
from ..base_provider import AsyncGeneratorProvider, BaseConversation, SynthesizeData
from ..helper import format_prompt, get_cookies
from ...requests.raise_for_status import raise_for_status
from ...requests.aiohttp import get_connector
from ...requests import get_nodriver
from ...errors import MissingAuthError
from ...image import ImageResponse, to_bytes
from ... import debug
REQUEST_HEADERS = {
"authority": "gemini.google.com",
"origin": "https://gemini.google.com",
"referer": "https://gemini.google.com/",
'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',
'x-same-domain': '1',
}
REQUEST_BL_PARAM = "boq_assistant-bard-web-server_20240519.16_p0"
REQUEST_URL = "https://gemini.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate"
UPLOAD_IMAGE_URL = "https://content-push.googleapis.com/upload/"
UPLOAD_IMAGE_HEADERS = {
"authority": "content-push.googleapis.com",
"accept": "*/*",
"accept-language": "en-US,en;q=0.7",
"authorization": "Basic c2F2ZXM6cyNMdGhlNmxzd2F2b0RsN3J1d1U=",
"content-type": "application/x-www-form-urlencoded;charset=UTF-8",
"origin": "https://gemini.google.com",
"push-id": "feeds/mcudyrk2a4khkz",
"referer": "https://gemini.google.com/",
"x-goog-upload-command": "start",
"x-goog-upload-header-content-length": "",
"x-goog-upload-protocol": "resumable",
"x-tenant-id": "bard-storage",
}
class Gemini(AsyncGeneratorProvider):
url = "https://gemini.google.com"
needs_auth = True
working = True
default_model = 'gemini'
image_models = ["gemini"]
default_vision_model = "gemini"
models = ["gemini", "gemini-1.5-flash", "gemini-1.5-pro"]
synthesize_content_type = "audio/vnd.wav"
_cookies: Cookies = None
_snlm0e: str = None
_sid: str = None
@classmethod
async def nodriver_login(cls, proxy: str = None) -> AsyncIterator[str]:
if not has_nodriver:
if debug.logging:
print("Skip nodriver login in Gemini provider")
return
browser = await get_nodriver(proxy=proxy)
login_url = os.environ.get("G4F_LOGIN_URL")
if login_url:
yield f"Please login: [Google Gemini]({login_url})\n\n"
page = await browser.get(f"{cls.url}/app")
await page.select("div.ql-editor.textarea", 240)
cookies = {}
for c in await page.browser.cookies.get_all():
if c.domain.endswith(".google.com"):
cookies[c.name] = c.value
await page.close()
cls._cookies = cookies
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
cookies: Cookies = None,
connector: BaseConnector = None,
image: ImageType = None,
image_name: str = None,
response_format: str = None,
return_conversation: bool = False,
conversation: Conversation = None,
language: str = "en",
**kwargs
) -> AsyncResult:
prompt = format_prompt(messages) if conversation is None else messages[-1]["content"]
cls._cookies = cookies or cls._cookies or get_cookies(".google.com", False, True)
base_connector = get_connector(connector, proxy)
async with ClientSession(
headers=REQUEST_HEADERS,
connector=base_connector
) as session:
if not cls._snlm0e:
await cls.fetch_snlm0e(session, cls._cookies) if cls._cookies else None
if not cls._snlm0e:
try:
async for chunk in cls.nodriver_login(proxy):
yield chunk
except Exception as e:
raise MissingAuthError('Missing "__Secure-1PSID" cookie', e)
if not cls._snlm0e:
if cls._cookies is None or "__Secure-1PSID" not in cls._cookies:
raise MissingAuthError('Missing "__Secure-1PSID" cookie')
await cls.fetch_snlm0e(session, cls._cookies)
if not cls._snlm0e:
raise RuntimeError("Invalid cookies. SNlM0e not found")
yield SynthesizeData(cls.__name__, {"text": messages[-1]["content"]})
image_url = await cls.upload_image(base_connector, to_bytes(image), image_name) if image else None
async with ClientSession(
cookies=cls._cookies,
headers=REQUEST_HEADERS,
connector=base_connector,
) as client:
params = {
'bl': REQUEST_BL_PARAM,
'hl': language,
'_reqid': random.randint(1111, 9999),
'rt': 'c',
"f.sid": cls._sid,
}
data = {
'at': cls._snlm0e,
'f.req': json.dumps([None, json.dumps(cls.build_request(
prompt,
language=language,
conversation=conversation,
image_url=image_url,
image_name=image_name
))])
}
async with client.post(
REQUEST_URL,
data=data,
params=params,
) as response:
await raise_for_status(response)
image_prompt = response_part = None
last_content_len = 0
async for line in response.content:
try:
try:
line = json.loads(line)
except ValueError:
continue
if not isinstance(line, list):
continue
if len(line[0]) < 3 or not line[0][2]:
continue
response_part = json.loads(line[0][2])
if not response_part[4]:
continue
if return_conversation:
yield Conversation(response_part[1][0], response_part[1][1], response_part[4][0][0])
content = response_part[4][0][1][0]
except (ValueError, KeyError, TypeError, IndexError) as e:
print(f"{cls.__name__}:{e.__class__.__name__}:{e}")
continue
match = re.search(r'\[Imagen of (.*?)\]', content)
if match:
image_prompt = match.group(1)
content = content.replace(match.group(0), '')
yield content[last_content_len:]
last_content_len = len(content)
if image_prompt:
try:
images = [image[0][3][3] for image in response_part[4][0][12][7][0]]
if response_format == "b64_json":
yield ImageResponse(images, image_prompt, {"cookies": cls._cookies})
else:
resolved_images = []
preview = []
for image in images:
async with client.get(image, allow_redirects=False) as fetch:
image = fetch.headers["location"]
async with client.get(image, allow_redirects=False) as fetch:
image = fetch.headers["location"]
resolved_images.append(image)
preview.append(image.replace('=s512', '=s200'))
yield ImageResponse(resolved_images, image_prompt, {"orginal_links": images, "preview": preview})
except TypeError:
pass
@classmethod
async def synthesize(cls, params: dict, proxy: str = None) -> AsyncIterator[bytes]:
if "text" not in params:
raise ValueError("Missing parameter text")
async with ClientSession(
cookies=cls._cookies,
headers=REQUEST_HEADERS,
connector=get_connector(proxy=proxy),
) as session:
if not cls._snlm0e:
await cls.fetch_snlm0e(session, cls._cookies) if cls._cookies else None
inner_data = json.dumps([None, params["text"], "de-DE", None, 2])
async with session.post(
"https://gemini.google.com/_/BardChatUi/data/batchexecute",
data={
"f.req": json.dumps([[["XqA3Ic", inner_data, None, "generic"]]]),
"at": cls._snlm0e,
},
params={
"rpcids": "XqA3Ic",
"source-path": "/app/2704fb4aafcca926",
"bl": "boq_assistant-bard-web-server_20241119.00_p1",
"f.sid": "" if cls._sid is None else cls._sid,
"hl": "de",
"_reqid": random.randint(1111, 9999),
"rt": "c"
},
) as response:
await raise_for_status(response)
iter_base64_response = iter_filter_base64(response.content.iter_chunked(1024))
async for chunk in iter_base64_decode(iter_base64_response):
yield chunk
def build_request(
prompt: str,
language: str,
conversation: Conversation = None,
image_url: str = None,
image_name: str = None,
tools: list[list[str]] = []
) -> list:
image_list = [[[image_url, 1], image_name]] if image_url else []
return [
[prompt, 0, None, image_list, None, None, 0],
[language],
[
None if conversation is None else conversation.conversation_id,
None if conversation is None else conversation.response_id,
None if conversation is None else conversation.choice_id,
None,
None,
[]
],
None,
None,
None,
[1],
0,
[],
tools,
1,
0,
]
async def upload_image(connector: BaseConnector, image: bytes, image_name: str = None):
async with ClientSession(
headers=UPLOAD_IMAGE_HEADERS,
connector=connector
) as session:
async with session.options(UPLOAD_IMAGE_URL) as response:
await raise_for_status(response)
headers = {
"size": str(len(image)),
"x-goog-upload-command": "start"
}
data = f"File name: {image_name}" if image_name else None
async with session.post(
UPLOAD_IMAGE_URL, headers=headers, data=data
) as response:
await raise_for_status(response)
upload_url = response.headers["X-Goog-Upload-Url"]
async with session.options(upload_url, headers=headers) as response:
await raise_for_status(response)
headers["x-goog-upload-command"] = "upload, finalize"
headers["X-Goog-Upload-Offset"] = "0"
async with session.post(
upload_url, headers=headers, data=image
) as response:
await raise_for_status(response)
return await response.text()
@classmethod
async def fetch_snlm0e(cls, session: ClientSession, cookies: Cookies):
async with session.get(cls.url, cookies=cookies) as response:
await raise_for_status(response)
response_text = await response.text()
match = re.search(r'SNlM0e\":\"(.*?)\"', response_text)
if match:
cls._snlm0e = match.group(1)
sid_match = re.search(r'"FdrFJe":"([\d-]+)"', response_text)
if sid_match:
cls._sid = sid_match.group(1)
class Conversation(BaseConversation):
def __init__(self,
conversation_id: str = "",
response_id: str = "",
choice_id: str = ""
) -> None:
self.conversation_id = conversation_id
self.response_id = response_id
self.choice_id = choice_id
async def iter_filter_base64(response_iter: AsyncIterator[bytes]) -> AsyncIterator[bytes]:
search_for = b'[["wrb.fr","XqA3Ic","[\\"'
end_with = b'\\'
is_started = False
async for chunk in response_iter:
if is_started:
if end_with in chunk:
yield chunk.split(end_with, 1).pop(0)
break
else:
yield chunk
elif search_for in chunk:
is_started = True
yield chunk.split(search_for, 1).pop()
else:
raise RuntimeError(f"Response: {chunk}")
async def iter_base64_decode(response_iter: AsyncIterator[bytes]) -> AsyncIterator[bytes]:
buffer = b""
async for chunk in response_iter:
chunk = buffer + chunk
rest = len(chunk) % 4
buffer = chunk[-rest:]
yield base64.b64decode(chunk[:-rest]) |