mirror of https://github.com/xtekky/gpt4free
add reka core model (vision)
abc
4 weeks ago
parent
431621b274
commit
2b271013fb
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# Image Chat with Reca
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# !! YOU NEED COOKIES / BE LOGGED IN TO chat.reka.ai
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# download an image and save it as test.png in the same folder
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from g4f.client import Client
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from g4f.Provider import Reka
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client = Client(
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provider = Reka # Optional if you set model name to reka-core
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)
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completion = client.chat.completions.create(
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model = "reka-core",
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messages = [
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{
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"role": "user",
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"content": "What can you see in the image ?"
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}
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],
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stream = True,
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image = open("test.png", "rb") # open("path", "rb"), do not use .read(), etc. it must be a file object
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)
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for message in completion:
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print(message.choices[0].delta.content or "")
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# >>> In the image there is ...
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from __future__ import annotations
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import os, requests, time, json
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from ..typing import CreateResult, Messages, ImageType
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from .base_provider import AbstractProvider
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from ..cookies import get_cookies
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class Reka(AbstractProvider):
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url = "https://chat.reka.ai/"
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working = True
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supports_stream = True
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cookies = {}
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@classmethod
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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timeout: int = 180,
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bearer_auth: str = None,
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image: ImageType = None, **kwargs) -> CreateResult:
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cls.proxy = proxy
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if not bearer_auth:
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cls.cookies = get_cookies("chat.reka.ai")
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if not cls.cookies:
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raise ValueError("No cookies found for chat.reka.ai")
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elif "appSession" not in cls.cookies:
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raise ValueError("No appSession found in cookies for chat.reka.ai, log in or provide bearer_auth")
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bearer_auth = cls.get_access_token(cls)
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conversation = []
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for message in messages:
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conversation.append({
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"type": "human",
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"text": message["content"],
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})
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if image:
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image_url = cls.upload_image(cls, bearer_auth, image)
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conversation[-1]["image_url"] = image_url
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conversation[-1]["media_type"] = "image"
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headers = {
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'authorization': f'Bearer {bearer_auth}',
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': 'https://chat.reka.ai',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'sec-ch-ua': '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36',
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}
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json_data = {
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'conversation_history': conversation,
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'stream': True,
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'use_search_engine': False,
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'use_code_interpreter': False,
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'model_name': 'reka-core',
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'random_seed': int(time.time() * 1000),
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}
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tokens = ''
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response = requests.post('https://chat.reka.ai/api/chat',
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cookies=cls.cookies, headers=headers, json=json_data, proxies=cls.proxy, stream=True)
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for completion in response.iter_lines():
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if b'data' in completion:
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token_data = json.loads(completion.decode('utf-8')[5:])['text']
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yield (token_data.replace(tokens, ''))
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tokens = token_data
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def upload_image(cls, access_token, image: ImageType) -> str:
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boundary_token = os.urandom(8).hex()
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headers = {
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'cache-control': 'no-cache',
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'authorization': f'Bearer {access_token}',
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'content-type': f'multipart/form-data; boundary=----WebKitFormBoundary{boundary_token}',
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'origin': 'https://chat.reka.ai',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://chat.reka.ai/chat/hPReZExtDOPvUfF8vCPC',
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'sec-ch-ua': '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36',
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}
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image_data = image.read()
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boundary = f'----WebKitFormBoundary{boundary_token}'
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data = f'--{boundary}\r\nContent-Disposition: form-data; name="image"; filename="image.png"\r\nContent-Type: image/png\r\n\r\n'
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data += image_data.decode('latin-1')
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data += f'\r\n--{boundary}--\r\n'
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response = requests.post('https://chat.reka.ai/api/upload-image',
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cookies=Reka.cookies, headers=headers, proxies=cls.proxy, data=data.encode('latin-1'))
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return response.json()['media_url']
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def get_access_token(cls):
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headers = {
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'accept': '*/*',
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'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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'cache-control': 'no-cache',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://chat.reka.ai/chat',
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'sec-ch-ua': '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36',
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}
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try:
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response = requests.get('https://chat.reka.ai/bff/auth/access_token',
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cookies=cls.cookies, headers=headers)
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return response.json()['accessToken']
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except Exception as e:
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raise ValueError(f"Failed to get access token: {e}, refresh your cookies / log in into chat.reka.ai")
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