File size: 8,235 Bytes
9e7090f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 |
import time
import uuid
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
import click
import requests
from requests import get
from uuid import uuid4
from re import findall
from requests.exceptions import RequestException
from curl_cffi.requests import get, RequestsError
import g4f
from random import randint
from PIL import Image
import io
import re
import json
import yaml
from ..AIutel import Optimizers
from ..AIutel import Conversation
from ..AIutel import AwesomePrompts, sanitize_stream
from ..AIbase import Provider, AsyncProvider
from Helpingai_T2 import Perplexity
from webscout import exceptions
from typing import Any, AsyncGenerator, Dict
import logging
import httpx
from Bard import Chatbot
import logging
from os import path
from json import load
from json import dumps
import warnings
logging.getLogger("httpx").setLevel(logging.ERROR)
warnings.simplefilter("ignore", category=UserWarning)
class GEMINI(Provider):
def __init__(
self,
cookie_file: str,
proxy: dict = {},
timeout: int = 30,
):
"""Initializes GEMINI
Args:
cookie_file (str): Path to `bard.google.com.cookies.json` file
proxy (dict, optional): Http request proxy. Defaults to {}.
timeout (int, optional): Http request timeout. Defaults to 30.
"""
self.conversation = Conversation(False)
self.session_auth1 = None
self.session_auth2 = None
assert isinstance(
cookie_file, str
), f"cookie_file should be of {str} only not '{type(cookie_file)}'"
if path.isfile(cookie_file):
# let's assume auth is a path to exported .json cookie-file
with open(cookie_file) as fh:
entries = load(fh)
for entry in entries:
if entry["name"] == "__Secure-1PSID":
self.session_auth1 = entry["value"]
elif entry["name"] == "__Secure-1PSIDTS":
self.session_auth2 = entry["value"]
assert all(
[self.session_auth1, self.session_auth2]
), f"Failed to extract the required cookie value from file '{cookie_file}'"
else:
raise Exception(f"{cookie_file} is not a valid file path")
self.session = Chatbot(self.session_auth1, self.session_auth2, proxy, timeout)
self.last_response = {}
self.__available_optimizers = (
method
for method in dir(Optimizers)
if callable(getattr(Optimizers, method)) and not method.startswith("__")
)
def ask(
self,
prompt: str,
stream: bool = False,
raw: bool = False,
optimizer: str = None,
conversationally: bool = False,
) -> dict:
"""Chat with AI
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
raw (bool, optional): Stream back raw response as received. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defeaults to None
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
dict : {}
```json
{
"content": "General Kenobi! \n\n(I couldn't help but respond with the iconic Star Wars greeting since you used it first. )\n\nIs there anything I can help you with today?\n[Image of Hello there General Kenobi]",
"conversation_id": "c_f13f6217f9a997aa",
"response_id": "r_d3665f95975c368f",
"factualityQueries": null,
"textQuery": [
"hello there",
1
],
"choices": [
{
"id": "rc_ea075c9671bfd8cb",
"content": [
"General Kenobi! \n\n(I couldn't help but respond with the iconic Star Wars greeting since you used it first. )\n\nIs there anything I can help you with today?\n[Image of Hello there General Kenobi]"
]
},
{
"id": "rc_de6dd3fb793a5402",
"content": [
"General Kenobi! (or just a friendly hello, whichever you prefer!). \n\nI see you're a person of culture as well. *Star Wars* references are always appreciated. \n\nHow can I help you today?\n"
]
},
{
"id": "rc_a672ac089caf32db",
"content": [
"General Kenobi! (or just a friendly hello if you're not a Star Wars fan!). \n\nHow can I help you today? Feel free to ask me anything, or tell me what you'd like to chat about. I'm here to assist in any way I can.\n[Image of Obi-Wan Kenobi saying hello there]"
]
}
],
"images": [
"https://i.pinimg.com/originals/40/74/60/407460925c9e419d82b93313f0b42f71.jpg"
]
}
```
"""
conversation_prompt = self.conversation.gen_complete_prompt(prompt)
if optimizer:
if optimizer in self.__available_optimizers:
conversation_prompt = getattr(Optimizers, optimizer)(
conversation_prompt if conversationally else prompt
)
else:
raise Exception(
f"Optimizer is not one of {self.__available_optimizers}"
)
def for_stream():
response = self.session.ask(prompt)
self.last_response.update(response)
self.conversation.update_chat_history(
prompt, self.get_message(self.last_response)
)
yield dumps(response) if raw else response
def for_non_stream():
# let's make use of stream
for _ in for_stream():
pass
return self.last_response
return for_stream() if stream else for_non_stream()
def chat(
self,
prompt: str,
stream: bool = False,
optimizer: str = None,
conversationally: bool = False,
) -> str:
"""Generate response `str`
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defaults to None.
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
str: Response generated
"""
def for_stream():
for response in self.ask(
prompt, True, optimizer=optimizer, conversationally=conversationally
):
yield self.get_message(response)
def for_non_stream():
return self.get_message(
self.ask(
prompt,
False,
optimizer=optimizer,
conversationally=conversationally,
)
)
return for_stream() if stream else for_non_stream()
def get_message(self, response: dict) -> str:
"""Retrieves message only from response
Args:
response (dict): Response generated by `self.ask`
Returns:
str: Message extracted
"""
assert isinstance(response, dict), "Response should be of dict data-type only"
return response["content"]
def reset(self):
"""Reset the current conversation"""
self.session.async_chatbot.conversation_id = ""
self.session.async_chatbot.response_id = ""
self.session.async_chatbot.choice_id = "" |