Add .har file support for OpenaiChat

Update model list of HuggingChat
Update styles of scrollbar in gui
Fix image upload in gui
pull/1754/head
Heiner Lohaus 2 months ago
parent bf82352a3b
commit 347d3f92da

@ -172,7 +172,8 @@ image_url = response.data[0].url
### Webview GUI
Open the GUI in a window of your OS. Runs on a local/static/ssl server with a js api. Supports login into the OpenAI Chat, Image Upload and streamed Text Generation.
Open the GUI in a window of your OS. Runs on a local/static/ssl server and use a JavaScript API.
Supports login into the OpenAI Chat, Image Upload and streamed Text Generation.
Supports all platforms, but only Linux tested.

@ -1,7 +1,7 @@
from __future__ import annotations
import json
import requests
from aiohttp import ClientSession, BaseConnector
from ..typing import AsyncResult, Messages
@ -14,19 +14,27 @@ class HuggingChat(AsyncGeneratorProvider, ProviderModelMixin):
working = True
default_model = "meta-llama/Llama-2-70b-chat-hf"
models = [
"google/gemma-7b-it",
"mistralai/Mixtral-8x7B-Instruct-v0.1",
"google/gemma-7b-it",
"meta-llama/Llama-2-70b-chat-hf",
"NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
"codellama/CodeLlama-34b-Instruct-hf",
"mistralai/Mistral-7B-Instruct-v0.2",
"openchat/openchat-3.5-0106",
"codellama/CodeLlama-70b-Instruct-hf"
]
model_aliases = {
"openchat/openchat_3.5": "openchat/openchat-3.5-1210",
"openchat/openchat_3.5": "openchat/openchat-3.5-0106",
}
@classmethod
def get_models(cls):
if not cls.models:
url = f"{cls.url}/__data.json"
data = requests.get(url).json()["nodes"][0]["data"]
models = [data[key]["name"] for key in data[data[0]["models"]]]
cls.models = [data[key] for key in models]
return cls.models
@classmethod
async def create_async_generator(
cls,

@ -8,12 +8,6 @@ import base64
import time
from aiohttp import ClientWebSocketResponse
try:
from py_arkose_generator.arkose import get_values_for_request
has_arkose_generator = True
except ImportError:
has_arkose_generator = False
try:
import webview
has_webview = True
@ -35,6 +29,7 @@ from ...requests import get_args_from_browser, raise_for_status
from ...requests.aiohttp import StreamSession
from ...image import to_image, to_bytes, ImageResponse, ImageRequest
from ...errors import MissingRequirementsError, MissingAuthError, ProviderNotWorkingError
from ..openai.har_file import getArkoseAndAccessToken
from ... import debug
class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
@ -353,18 +348,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
timeout=timeout
) as session:
api_key = kwargs["access_token"] if "access_token" in kwargs else api_key
if cls._headers is None or cls._expires is None or time.time() > cls._expires:
if cls._headers is None:
cookies = get_cookies("chat.openai.com", False) if cookies is None else cookies
api_key = cookies["access_token"] if "access_token" in cookies else api_key
if api_key is None:
try:
await cls.webview_access_token() if has_webview else None
except Exception as e:
if debug.logging:
print(f"Use webview failed: {e}")
else:
api_key = cls._api_key if api_key is None else api_key
if api_key is not None:
cls._create_request_args(cookies)
@ -380,14 +363,12 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
if debug.logging:
print("OpenaiChat: Load default_model failed")
print(f"{e.__class__.__name__}: {e}")
arkose_token = None
if cls.default_model is None:
login_url = os.environ.get("G4F_LOGIN_URL")
if login_url:
yield f"Please login: [ChatGPT]({login_url})\n\n"
try:
cls.browse_access_token(proxy)
except MissingRequirementsError:
raise MissingAuthError(f'Missing "access_token". Add a "api_key" please')
arkose_token, api_key, cookies = await getArkoseAndAccessToken(proxy)
cls._create_request_args(cookies)
cls._set_api_key(api_key)
cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers))
async with session.post(
@ -402,9 +383,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
need_arkose = data["arkose"]["required"]
chat_token = data["token"]
if need_arkose and not has_arkose_generator:
raise ProviderNotWorkingError("OpenAI Plus Subscriber are not working")
raise MissingRequirementsError('Install "py-arkose-generator" package')
if need_arkose and arkose_token is None:
arkose_token, api_key, cookies = await getArkoseAndAccessToken(proxy)
cls._create_request_args(cookies)
cls._set_api_key(api_key)
try:
image_request = await cls.upload_image(session, cls._headers, image, image_name) if image else None
@ -439,8 +421,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
**cls._headers
}
if need_arkose:
raise ProviderNotWorkingError("OpenAI Plus Subscriber are not working")
headers["OpenAI-Sentinel-Arkose-Token"] = await cls.get_arkose_token(session, cls._headers, blob)
headers["OpenAI-Sentinel-Arkose-Token"] = arkose_token
headers["OpenAI-Sentinel-Chat-Requirements-Token"] = chat_token
async with session.post(
@ -491,7 +472,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
):
yield chunk
finally:
await ws.aclose()
await ws.aclose() if hasattr(ws, "aclose") else await ws.close()
break
async for chunk in cls.iter_messages_line(session, message, fields):
if fields.finish_reason is not None:
@ -611,35 +592,6 @@ this.fetch = async (url, options) => {
finally:
driver.close()
@classmethod
async def get_arkose_token(cls, session: StreamSession, headers: dict, blob: str) -> str:
"""
Obtain an Arkose token for the session.
Args:
session (StreamSession): The session object.
Returns:
str: The Arkose token.
Raises:
RuntimeError: If unable to retrieve the token.
"""
config = {
"pkey": "35536E1E-65B4-4D96-9D97-6ADB7EFF8147",
"surl": "https://tcr9i.chat.openai.com",
"headers": headers,
"site": cls.url,
"data": {"blob": blob}
}
args_for_request = get_values_for_request(config)
async with session.post(**args_for_request) as response:
await raise_for_status(response)
decoded_json = await response.json()
if "token" in decoded_json:
return decoded_json["token"]
raise RuntimeError(f"Response: {decoded_json}")
@classmethod
async def fetch_access_token(cls, session: StreamSession, headers: dict):
async with session.get(

@ -0,0 +1,66 @@
import json
import base64
import hashlib
import random
from Crypto.Cipher import AES
def pad(data: str) -> bytes:
# Convert the string to bytes and calculate the number of bytes to pad
data_bytes = data.encode()
padding = 16 - (len(data_bytes) % 16)
# Append the padding bytes with their value
return data_bytes + bytes([padding] * padding)
def encrypt(data, key):
salt = ""
salted = ""
dx = bytes()
# Generate salt, as 8 random lowercase letters
salt = "".join(random.choice("abcdefghijklmnopqrstuvwxyz") for _ in range(8))
# Our final key and IV come from the key and salt being repeatedly hashed
for x in range(3):
dx = hashlib.md5(dx + key.encode() + salt.encode()).digest()
salted += dx.hex()
# Pad the data before encryption
data = pad(data)
aes = AES.new(
bytes.fromhex(salted[:64]), AES.MODE_CBC, bytes.fromhex(salted[64:96])
)
return json.dumps(
{
"ct": base64.b64encode(aes.encrypt(data)).decode(),
"iv": salted[64:96],
"s": salt.encode().hex(),
}
)
def unpad(data: bytes) -> bytes:
# Extract the padding value from the last byte and remove padding
padding_value = data[-1]
return data[:-padding_value]
def decrypt(data: str, key: str):
# Parse JSON data
parsed_data = json.loads(base64.b64decode(data))
ct = base64.b64decode(parsed_data["ct"])
iv = bytes.fromhex(parsed_data["iv"])
salt = bytes.fromhex(parsed_data["s"])
salted = ''
dx = b''
for x in range(3):
dx = hashlib.md5(dx + key.encode() + salt).digest()
salted += dx.hex()
aes = AES.new(
bytes.fromhex(salted[:64]), AES.MODE_CBC, iv
)
data = aes.decrypt(ct)
if data.startswith(b'[{"key":'):
return unpad(data).decode()

@ -0,0 +1,124 @@
import base64
import json
import os
import re
import time
import uuid
import random
from urllib.parse import unquote
from copy import deepcopy
from .crypt import decrypt, encrypt
from ...requests import StreamSession
arkPreURL = "https://tcr9i.chat.openai.com/fc/gt2/public_key/35536E1E-65B4-4D96-9D97-6ADB7EFF8147"
sessionUrl = "https://chat.openai.com/api/auth/session"
chatArk = None
accessToken = None
class arkReq:
def __init__(self, arkURL, arkBx, arkHeader, arkBody, arkCookies, userAgent):
self.arkURL = arkURL
self.arkBx = arkBx
self.arkHeader = arkHeader
self.arkBody = arkBody
self.arkCookies = arkCookies
self.userAgent = userAgent
def readHAR():
dirPath = "./"
harPath = []
chatArks = []
accessToken = None
for root, dirs, files in os.walk(dirPath):
for file in files:
if file.endswith(".har"):
harPath.append(os.path.join(root, file))
if not harPath:
raise RuntimeError("No .har file found")
for path in harPath:
with open(path, 'r') as file:
try:
harFile = json.load(file)
except json.JSONDecodeError:
# Error: not a HAR file!
continue
for v in harFile['log']['entries']:
if arkPreURL in v['request']['url']:
chatArks.append(parseHAREntry(v))
elif v['request']['url'] == sessionUrl:
accessToken = json.loads(v["response"]["content"]["text"]).get("accessToken")
if not chatArks:
RuntimeError("No arkose requests found in .har files")
if not accessToken:
RuntimeError("No accessToken found in .har files")
return chatArks.pop(), accessToken
def parseHAREntry(entry) -> arkReq:
tmpArk = arkReq(
arkURL=entry['request']['url'],
arkBx="",
arkHeader={h['name'].lower(): h['value'] for h in entry['request']['headers'] if h['name'].lower() not in ['content-length', 'cookie'] and not h['name'].startswith(':')},
arkBody={p['name']: unquote(p['value']) for p in entry['request']['postData']['params'] if p['name'] not in ['rnd']},
arkCookies=[{'name': c['name'], 'value': c['value'], 'expires': c['expires']} for c in entry['request']['cookies']],
userAgent=""
)
tmpArk.userAgent = tmpArk.arkHeader.get('user-agent', '')
bda = tmpArk.arkBody["bda"]
bw = tmpArk.arkHeader['x-ark-esync-value']
tmpArk.arkBx = decrypt(bda, tmpArk.userAgent + bw)
return tmpArk
def genArkReq(chatArk: arkReq) -> arkReq:
if not chatArk:
raise RuntimeError("No .har file with arkose found")
tmpArk: arkReq = deepcopy(chatArk)
if tmpArk is None or not tmpArk.arkBody or not tmpArk.arkHeader:
raise RuntimeError("The .har file is not valid")
bda, bw = getBDA(tmpArk)
tmpArk.arkBody['bda'] = base64.b64encode(bda.encode()).decode()
tmpArk.arkBody['rnd'] = str(random.random())
tmpArk.arkHeader['x-ark-esync-value'] = bw
tmpArk.arkCookies = {cookie['name']: cookie['value'] for cookie in tmpArk.arkCookies}
return tmpArk
async def sendRequest(tmpArk: arkReq, proxy: str = None):
async with StreamSession(headers=tmpArk.arkHeader, cookies=tmpArk.arkCookies, proxies={"https": proxy}) as session:
async with session.post(tmpArk.arkURL, data=tmpArk.arkBody) as response:
arkose = (await response.json()).get("token")
if "sup=1|rid=" not in arkose:
return RuntimeError("No valid arkose token generated")
return arkose
def getBDA(arkReq: arkReq):
bx = arkReq.arkBx
bx = re.sub(r'"key":"n","value":"\S*?"', f'"key":"n","value":"{getN()}"', bx)
oldUUID_search = re.search(r'"key":"4b4b269e68","value":"(\S*?)"', bx)
if oldUUID_search:
oldUUID = oldUUID_search.group(1)
newUUID = str(uuid.uuid4())
bx = bx.replace(oldUUID, newUUID)
bw = getBw(getBt())
encrypted_bx = encrypt(bx, arkReq.userAgent + bw)
return encrypted_bx, bw
def getBt() -> int:
return int(time.time())
def getBw(bt: int) -> str:
return str(bt - (bt % 21600))
def getN() -> str:
timestamp = str(int(time.time()))
return base64.b64encode(timestamp.encode()).decode()
async def getArkoseAndAccessToken(proxy: str):
global chatArk, accessToken
if chatArk is None or accessToken is None:
chatArk, accessToken = readHAR()
newReq = genArkReq(chatArk)
return await sendRequest(newReq, proxy), accessToken, newReq.arkCookies

@ -133,11 +133,11 @@
<div class="box input-box">
<textarea id="message-input" placeholder="Ask a question" cols="30" rows="10"
style="white-space: pre-wrap;resize: none;"></textarea>
<label class="file-label" for="image" title="Works with Bing, Gemini, OpenaiChat and You">
<label class="file-label image-label" for="image" title="Works with Bing, Gemini, OpenaiChat and You">
<input type="file" id="image" name="image" accept="image/*" required/>
<i class="fa-regular fa-image"></i>
</label>
<label class="file-label" for="camera">
<label class="file-label image-label" for="camera">
<input type="file" id="camera" name="camera" accept="image/*" capture="camera" required/>
<i class="fa-solid fa-camera"></i>
</label>

@ -1020,3 +1020,17 @@ a:-webkit-any-link {
padding: var(--inner-gap) var(--section-gap);
resize: vertical;
}
::-webkit-scrollbar {
width: 10px;
}
::-webkit-scrollbar-track {
background: var(--colour-3);
}
::-webkit-scrollbar-thumb {
background: var(--blur-bg);
border-radius: 5px;
}
::-webkit-scrollbar-thumb:hover {
background: var(--accent)
}

@ -955,7 +955,7 @@ async function api(ressource, args=null, file=null) {
}
const url = `/backend-api/v2/${ressource}`;
if (ressource == "conversation") {
const body = JSON.stringify(args);
let body = JSON.stringify(args);
const headers = {
accept: 'text/event-stream'
}

@ -135,6 +135,7 @@ class Api():
camera.take_picture(filename=filename, on_complete=self.on_camera)
def on_image_selection(self, filename):
filename = filename[0] if isinstance(filename, list) else filename
if filename is not None and os.path.exists(filename):
self.image = filename
else:
@ -152,7 +153,7 @@ class Api():
window = webview.windows[0]
if window is not None:
window.evaluate_js(
f"document.querySelector(`.file-label.selected`)?.classList.remove(`selected`);"
f"document.querySelector(`.image-label.selected`)?.classList.remove(`selected`);"
)
if input_id is not None and input_id in ("image", "camera"):
window.evaluate_js(

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