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323 lines
12 KiB
Python
323 lines
12 KiB
Python
from __future__ import annotations
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import random
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import json
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import os
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import uuid
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import time
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from urllib import parse
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from aiohttp import ClientSession, ClientTimeout
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from ..typing import AsyncResult, Messages, ImageType
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from .base_provider import AsyncGeneratorProvider
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from .bing.upload_image import upload_image
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from .bing.create_images import create_images, format_images_markdown
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from .bing.conversation import Conversation, create_conversation, delete_conversation
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class Tones():
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creative = "Creative"
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balanced = "Balanced"
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precise = "Precise"
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class Bing(AsyncGeneratorProvider):
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url = "https://bing.com/chat"
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working = True
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supports_message_history = True
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supports_gpt_4 = True
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@staticmethod
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def create_async_generator(
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model: str,
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messages: Messages,
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proxy: str = None,
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timeout: int = 900,
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cookies: dict = None,
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tone: str = Tones.balanced,
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image: ImageType = None,
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web_search: bool = False,
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**kwargs
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) -> AsyncResult:
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if len(messages) < 2:
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prompt = messages[0]["content"]
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context = None
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else:
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prompt = messages[-1]["content"]
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context = create_context(messages[:-1])
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if not cookies:
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cookies = Defaults.cookies
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else:
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for key, value in Defaults.cookies.items():
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if key not in cookies:
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cookies[key] = value
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gpt4_turbo = True if model.startswith("gpt-4-turbo") else False
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return stream_generate(prompt, tone, image, context, proxy, cookies, web_search, gpt4_turbo, timeout)
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def create_context(messages: Messages):
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return "".join(
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f"[{message['role']}]" + ("(#message)" if message['role']!="system" else "(#additional_instructions)") + f"\n{message['content']}\n\n"
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for message in messages
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)
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class Defaults:
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delimiter = "\x1e"
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ip_address = f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
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allowedMessageTypes = [
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"ActionRequest",
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"Chat",
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"Context",
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# "Disengaged", unwanted
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"Progress",
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# "AdsQuery", unwanted
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"SemanticSerp",
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"GenerateContentQuery",
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"SearchQuery",
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# The following message types should not be added so that it does not flood with
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# useless messages (such as "Analyzing images" or "Searching the web") while it's retrieving the AI response
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# "InternalSearchQuery",
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# "InternalSearchResult",
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"RenderCardRequest",
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# "RenderContentRequest"
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]
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sliceIds = [
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'abv2',
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'srdicton',
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'convcssclick',
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'stylewv2',
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'contctxp2tf',
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'802fluxv1pc_a',
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'806log2sphs0',
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'727savemem',
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'277teditgnds0',
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'207hlthgrds0',
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]
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location = {
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"locale": "en-US",
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"market": "en-US",
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"region": "US",
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"locationHints": [
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{
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"country": "United States",
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"state": "California",
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"city": "Los Angeles",
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"timezoneoffset": 8,
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"countryConfidence": 8,
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"Center": {"Latitude": 34.0536909, "Longitude": -118.242766},
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"RegionType": 2,
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"SourceType": 1,
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}
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],
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}
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headers = {
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'accept': '*/*',
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'accept-language': 'en-US,en;q=0.9',
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'cache-control': 'max-age=0',
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'sec-ch-ua': '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
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'sec-ch-ua-arch': '"x86"',
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'sec-ch-ua-bitness': '"64"',
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'sec-ch-ua-full-version': '"110.0.1587.69"',
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'sec-ch-ua-full-version-list': '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-model': '""',
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'sec-ch-ua-platform': '"Windows"',
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'sec-ch-ua-platform-version': '"15.0.0"',
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'sec-fetch-dest': 'document',
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'sec-fetch-mode': 'navigate',
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'sec-fetch-site': 'none',
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'sec-fetch-user': '?1',
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'upgrade-insecure-requests': '1',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
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'x-edge-shopping-flag': '1',
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'x-forwarded-for': ip_address,
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}
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optionsSets = [
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'nlu_direct_response_filter',
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'deepleo',
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'disable_emoji_spoken_text',
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'responsible_ai_policy_235',
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'enablemm',
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'iyxapbing',
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'iycapbing',
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'gencontentv3',
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'fluxsrtrunc',
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'fluxtrunc',
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'fluxv1',
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'rai278',
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'replaceurl',
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'eredirecturl',
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'nojbfedge'
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]
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cookies = {
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'SRCHD' : 'AF=NOFORM',
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'PPLState' : '1',
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'KievRPSSecAuth': '',
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'SUID' : '',
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'SRCHUSR' : '',
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'SRCHHPGUSR' : f'HV={int(time.time())}',
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}
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def format_message(msg: dict) -> str:
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return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter
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def create_message(
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conversation: Conversation,
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prompt: str,
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tone: str,
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context: str = None,
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image_info: dict = None,
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web_search: bool = False,
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gpt4_turbo: bool = False
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) -> str:
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options_sets = Defaults.optionsSets
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if tone == Tones.creative:
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options_sets.append("h3imaginative")
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elif tone == Tones.precise:
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options_sets.append("h3precise")
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elif tone == Tones.balanced:
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options_sets.append("galileo")
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else:
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options_sets.append("harmonyv3")
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if not web_search:
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options_sets.append("nosearchall")
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if gpt4_turbo:
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options_sets.append("dlgpt4t")
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request_id = str(uuid.uuid4())
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struct = {
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'arguments': [
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{
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'source': 'cib',
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'optionsSets': options_sets,
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'allowedMessageTypes': Defaults.allowedMessageTypes,
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'sliceIds': Defaults.sliceIds,
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'traceId': os.urandom(16).hex(),
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'isStartOfSession': True,
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'requestId': request_id,
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'message': {**Defaults.location, **{
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'author': 'user',
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'inputMethod': 'Keyboard',
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'text': prompt,
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'messageType': 'Chat',
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'requestId': request_id,
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'messageId': request_id,
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}},
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"verbosity": "verbose",
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"scenario": "SERP",
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"plugins":[
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{"id":"c310c353-b9f0-4d76-ab0d-1dd5e979cf68", "category": 1}
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] if web_search else [],
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'tone': tone,
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'spokenTextMode': 'None',
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'conversationId': conversation.conversationId,
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'participant': {
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'id': conversation.clientId
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},
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}
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],
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'invocationId': '1',
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'target': 'chat',
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'type': 4
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}
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if image_info and "imageUrl" in image_info and "originalImageUrl" in image_info:
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struct['arguments'][0]['message']['originalImageUrl'] = image_info['originalImageUrl']
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struct['arguments'][0]['message']['imageUrl'] = image_info['imageUrl']
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struct['arguments'][0]['experienceType'] = None
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struct['arguments'][0]['attachedFileInfo'] = {"fileName": None, "fileType": None}
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if context:
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struct['arguments'][0]['previousMessages'] = [{
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"author": "user",
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"description": context,
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"contextType": "WebPage",
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"messageType": "Context",
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"messageId": "discover-web--page-ping-mriduna-----"
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}]
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return format_message(struct)
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async def stream_generate(
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prompt: str,
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tone: str,
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image: ImageType = None,
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context: str = None,
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proxy: str = None,
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cookies: dict = None,
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web_search: bool = False,
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gpt4_turbo: bool = False,
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timeout: int = 900
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):
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headers = Defaults.headers
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if cookies:
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headers["Cookie"] = "; ".join(f"{k}={v}" for k, v in cookies.items())
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async with ClientSession(
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timeout=ClientTimeout(total=timeout),
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headers=headers
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) as session:
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conversation = await create_conversation(session, proxy)
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image_info = None
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if image:
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image_info = await upload_image(session, image, tone, proxy)
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try:
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async with session.ws_connect(
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'wss://sydney.bing.com/sydney/ChatHub',
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autoping=False,
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params={'sec_access_token': conversation.conversationSignature},
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proxy=proxy
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) as wss:
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await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
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await wss.receive(timeout=timeout)
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await wss.send_str(create_message(conversation, prompt, tone, context, image_info, web_search, gpt4_turbo))
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response_txt = ''
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returned_text = ''
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final = False
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while not final:
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msg = await wss.receive(timeout=timeout)
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if not msg.data:
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continue
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objects = msg.data.split(Defaults.delimiter)
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for obj in objects:
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if obj is None or not obj:
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continue
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response = json.loads(obj)
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if response.get('type') == 1 and response['arguments'][0].get('messages'):
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message = response['arguments'][0]['messages'][0]
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if (message['contentOrigin'] != 'Apology'):
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if 'adaptiveCards' in message:
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card = message['adaptiveCards'][0]['body'][0]
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if "text" in card:
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response_txt = card.get('text')
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if message.get('messageType'):
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inline_txt = card['inlines'][0].get('text')
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response_txt += inline_txt + '\n'
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elif message.get('contentType') == "IMAGE":
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prompt = message.get('text')
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try:
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response_txt += format_images_markdown(await create_images(session, prompt, proxy), prompt)
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except:
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response_txt += f"\nhttps://www.bing.com/images/create?q={parse.quote(prompt)}"
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final = True
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if response_txt.startswith(returned_text):
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new = response_txt[len(returned_text):]
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if new != "\n":
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yield new
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returned_text = response_txt
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elif response.get('type') == 2:
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result = response['item']['result']
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if result.get('error'):
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if result["value"] == "CaptchaChallenge":
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raise Exception(f"{result['value']}: Use other cookies or/and ip address")
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else:
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raise Exception(f"{result['value']}: {result['message']}")
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return
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finally:
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await delete_conversation(session, conversation, proxy)
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