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from __future__ import annotations
import time, json, time
from ..typing import CreateResult, Messages
from .base_provider import AbstractProvider
from ..webdriver import WebDriver, WebDriverSession
class TalkAi(AbstractProvider):
url = "https://talkai.info"
working = True
supports_gpt_35_turbo = True
supports_stream = True
@classmethod
def create_completion(
cls,
model: str,
messages: Messages,
stream: bool,
proxy: str = None,
webdriver: WebDriver = None,
**kwargs
) -> CreateResult:
with WebDriverSession(webdriver, "", virtual_display=True, proxy=proxy) 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
driver.get(f"{cls.url}/chat/")
# Wait for page load
WebDriverWait(driver, 240).until(
EC.presence_of_element_located((By.CSS_SELECTOR, "body.chat-page"))
)
data = {
"type": "chat",
"message": messages[-1]["content"],
"messagesHistory": [{
"from": "you" if message["role"] == "user" else "chatGPT",
"content": message["content"]
} for message in messages],
"model": model if model else "gpt-3.5-turbo",
"max_tokens": 256,
"temperature": 1,
"top_p": 1,
"presence_penalty": 0,
"frequency_penalty": 0,
**kwargs
}
script = """
const response = await fetch("/chat/send2/", {
"headers": {
"Accept": "application/json",
"Content-Type": "application/json",
},
"body": {body},
"method": "POST"
});
window._reader = response.body.pipeThrough(new TextDecoderStream()).getReader();
"""
driver.execute_script(
script.replace("{body}", json.dumps(json.dumps(data)))
)
# Read response
while True:
chunk = driver.execute_script("""
chunk = await window._reader.read();
if (chunk["done"]) {
return null;
}
content = "";
lines = chunk["value"].split("\\n")
lines.forEach((line, index) => {
if (line.startsWith('data: ')) {
content += line.substring('data: '.length);
}
});
return content;
""")
if chunk:
yield chunk.replace("\\n", "\n")
elif chunk != "":
break
else:
time.sleep(0.1)
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