mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 11:34:02 +03:00
157 lines
5.4 KiB
Python
157 lines
5.4 KiB
Python
from __future__ import annotations
|
|
|
|
import time
|
|
|
|
from ...typing import CreateResult, Messages
|
|
from ..base_provider import AbstractProvider
|
|
from ..helper import format_prompt
|
|
from ...webdriver import WebDriver, WebDriverSession, element_send_text
|
|
|
|
models = {
|
|
"theb-ai": "TheB.AI",
|
|
"theb-ai-free": "TheB.AI Free",
|
|
"gpt-3.5-turbo": "GPT-3.5 Turbo (New)",
|
|
"gpt-3.5-turbo-16k": "GPT-3.5-16K",
|
|
"gpt-4-turbo": "GPT-4 Turbo",
|
|
"gpt-4": "GPT-4",
|
|
"gpt-4-32k": "GPT-4 32K",
|
|
"claude-2": "Claude 2",
|
|
"claude-instant-1": "Claude Instant 1.2",
|
|
"palm-2": "PaLM 2",
|
|
"palm-2-32k": "PaLM 2 32K",
|
|
"palm-2-codey": "Codey",
|
|
"palm-2-codey-32k": "Codey 32K",
|
|
"vicuna-13b-v1.5": "Vicuna v1.5 13B",
|
|
"llama-2-7b-chat": "Llama 2 7B",
|
|
"llama-2-13b-chat": "Llama 2 13B",
|
|
"llama-2-70b-chat": "Llama 2 70B",
|
|
"code-llama-7b": "Code Llama 7B",
|
|
"code-llama-13b": "Code Llama 13B",
|
|
"code-llama-34b": "Code Llama 34B",
|
|
"qwen-7b-chat": "Qwen 7B"
|
|
}
|
|
|
|
class Theb(AbstractProvider):
|
|
label = "TheB.AI"
|
|
url = "https://beta.theb.ai"
|
|
working = True
|
|
supports_gpt_35_turbo = True
|
|
supports_gpt_4 = True
|
|
supports_stream = True
|
|
|
|
@classmethod
|
|
def create_completion(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool,
|
|
proxy: str = None,
|
|
webdriver: WebDriver = None,
|
|
virtual_display: bool = True,
|
|
**kwargs
|
|
) -> CreateResult:
|
|
if model in models:
|
|
model = models[model]
|
|
prompt = format_prompt(messages)
|
|
web_session = WebDriverSession(webdriver, virtual_display=virtual_display, proxy=proxy)
|
|
with web_session as driver:
|
|
from selenium.webdriver.common.by import By
|
|
from selenium.webdriver.support.ui import WebDriverWait
|
|
from selenium.webdriver.support import expected_conditions as EC
|
|
from selenium.webdriver.common.keys import Keys
|
|
|
|
# Register fetch hook
|
|
script = """
|
|
window._fetch = window.fetch;
|
|
window.fetch = async (url, options) => {
|
|
// Call parent fetch method
|
|
const response = await window._fetch(url, options);
|
|
if (!url.startsWith("/api/conversation")) {
|
|
return result;
|
|
}
|
|
// Copy response
|
|
copy = response.clone();
|
|
window._reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
|
|
return copy;
|
|
}
|
|
window._last_message = "";
|
|
"""
|
|
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
|
"source": script
|
|
})
|
|
|
|
try:
|
|
driver.get(f"{cls.url}/home")
|
|
wait = WebDriverWait(driver, 5)
|
|
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
|
except:
|
|
driver = web_session.reopen()
|
|
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
|
"source": script
|
|
})
|
|
driver.get(f"{cls.url}/home")
|
|
wait = WebDriverWait(driver, 240)
|
|
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
|
|
|
try:
|
|
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
|
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
|
except:
|
|
pass
|
|
if model:
|
|
# Load model panel
|
|
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "#SelectModel svg")))
|
|
time.sleep(0.1)
|
|
driver.find_element(By.CSS_SELECTOR, "#SelectModel svg").click()
|
|
try:
|
|
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
|
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
|
except:
|
|
pass
|
|
# Select model
|
|
selector = f"div.flex-col div.items-center span[title='{model}']"
|
|
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, selector)))
|
|
span = driver.find_element(By.CSS_SELECTOR, selector)
|
|
container = span.find_element(By.XPATH, "//div/../..")
|
|
button = container.find_element(By.CSS_SELECTOR, "button.btn-blue.btn-small.border")
|
|
button.click()
|
|
|
|
|
|
# Submit prompt
|
|
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
|
element_send_text(driver.find_element(By.ID, "textareaAutosize"), prompt)
|
|
|
|
# Read response with reader
|
|
script = """
|
|
if(window._reader) {
|
|
chunk = await window._reader.read();
|
|
if (chunk['done']) {
|
|
return null;
|
|
}
|
|
message = '';
|
|
chunk['value'].split('\\r\\n').forEach((line, index) => {
|
|
if (line.startsWith('data: ')) {
|
|
try {
|
|
line = JSON.parse(line.substring('data: '.length));
|
|
message = line["args"]["content"];
|
|
} catch(e) { }
|
|
}
|
|
});
|
|
if (message) {
|
|
try {
|
|
return message.substring(window._last_message.length);
|
|
} finally {
|
|
window._last_message = message;
|
|
}
|
|
}
|
|
}
|
|
return '';
|
|
"""
|
|
while True:
|
|
chunk = driver.execute_script(script)
|
|
if chunk:
|
|
yield chunk
|
|
elif chunk != "":
|
|
break
|
|
else:
|
|
time.sleep(0.1) |