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89 lines
3.3 KiB
Python
89 lines
3.3 KiB
Python
from __future__ import annotations
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import string
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import random
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import json
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import math
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from ...typing import ImageType
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from aiohttp import ClientSession
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from ...image import to_image, process_image, to_base64, ImageResponse
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image_config = {
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"maxImagePixels": 360000,
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"imageCompressionRate": 0.7,
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"enableFaceBlurDebug": 0,
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}
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async def upload_image(
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session: ClientSession,
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image: ImageType,
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tone: str,
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proxy: str = None
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) -> ImageResponse:
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image = to_image(image)
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width, height = image.size
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max_image_pixels = image_config['maxImagePixels']
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if max_image_pixels / (width * height) < 1:
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new_width = int(width * math.sqrt(max_image_pixels / (width * height)))
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new_height = int(height * math.sqrt(max_image_pixels / (width * height)))
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else:
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new_width = width
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new_height = height
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new_img = process_image(image, new_width, new_height)
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new_img_binary_data = to_base64(new_img, image_config['imageCompressionRate'])
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data, boundary = build_image_upload_api_payload(new_img_binary_data, tone)
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headers = session.headers.copy()
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headers["content-type"] = f'multipart/form-data; boundary={boundary}'
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headers["referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx'
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headers["origin"] = 'https://www.bing.com'
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async with session.post("https://www.bing.com/images/kblob", data=data, headers=headers, proxy=proxy) as response:
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if response.status != 200:
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raise RuntimeError("Failed to upload image.")
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image_info = await response.json()
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if not image_info.get('blobId'):
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raise RuntimeError("Failed to parse image info.")
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result = {'bcid': image_info.get('blobId', "")}
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result['blurredBcid'] = image_info.get('processedBlobId', "")
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if result['blurredBcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid']
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elif result['bcid'] != "":
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result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['bcid']
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result['originalImageUrl'] = (
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"https://www.bing.com/images/blob?bcid="
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+ result['blurredBcid']
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if image_config["enableFaceBlurDebug"]
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else "https://www.bing.com/images/blob?bcid="
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+ result['bcid']
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)
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return ImageResponse(result["imageUrl"], "", result)
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def build_image_upload_api_payload(image_bin: str, tone: str):
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payload = {
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'invokedSkills': ["ImageById"],
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'subscriptionId': "Bing.Chat.Multimodal",
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'invokedSkillsRequestData': {
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'enableFaceBlur': True
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},
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'convoData': {
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'convoid': "",
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'convotone': tone
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}
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}
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knowledge_request = {
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'imageInfo': {},
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'knowledgeRequest': payload
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}
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boundary="----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16))
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data = (
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f'--{boundary}'
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+ '\r\nContent-Disposition: form-data; name="knowledgeRequest"\r\n\r\n'
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+ json.dumps(knowledge_request, ensure_ascii=False)
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+ "\r\n--"
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+ boundary
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+ '\r\nContent-Disposition: form-data; name="imageBase64"\r\n\r\n'
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+ image_bin
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+ "\r\n--"
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+ boundary
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+ "--\r\n"
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)
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return data, boundary |