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chatgpt_code_interface/__pycache__/driver.cpython-39.pyc
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chatgpt_code_interface/__pycache__/driver.cpython-39.pyc
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chatgpt_code_interface/__pycache__/exec_term_code.cpython-39.pyc
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chatgpt_code_interface/__pycache__/exec_term_code.cpython-39.pyc
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chatgpt_code_interface/driver.py
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chatgpt_code_interface/driver.py
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from selenium.webdriver.common.keys import Keys
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from undetected_chromedriver import Chrome
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.common.by import By
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import bs4
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import re
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import time
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from exec_python_code import create_namespace, run_code
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from exec_term_code import run_shell_command
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from formating_tools import isolate_code_bloc
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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def better_send_keys(element, text):
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lines = text.split("\n")
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for i, line in enumerate(lines):
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element.send_keys(line)
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if i != len(lines)-1:
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element.send_keys(Keys.SHIFT + Keys.ENTER)
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class GPTDriver:
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def __init__(self, headless=False, data_dir="selenium1"):
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time.sleep(1)
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chrome_options = Options()
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if headless :
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chrome_options.add_argument("--headless")
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chrome_options.add_argument(f"user-data-dir={data_dir}")
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self.driver = Chrome(options=chrome_options, use_subprocess=True)
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#full screen
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self.driver.maximize_window()
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def wait_answer(self):
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"""Wait until the answer is ready"""
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xpath = """//*[@id="__next"]/div[2]/div[2]/main/div[2]/form/div/div[1]/button/div"""
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while True:
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try:
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element = self.driver.find_element(By.XPATH, xpath)
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#if element contain "stop generating" then continue
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if "stop generating" in element.text.lower():
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time.sleep(0.1)
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continue
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return element
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except:
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time.sleep(0.1)
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continue
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def create_user_data_dir(self, data_dir="selenium1"):
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"""Create a user data dir for selenium"""
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chrome_options = Options()
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chrome_options.add_argument(f"user-data-dir={data_dir}")
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chrome_options.add_argument("--disable-images")
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self.driver = Chrome(options=chrome_options)
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self.driver.set_window_size(600, 1000)
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self.driver.get("https://chat.openai.com/chat")
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time.sleep(60)
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self.driver.quit()
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def connect(self):
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self.driver.get("https://chat.openai.com/chat")
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def get_chat(self):
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"""Get the chat history"""
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soup = bs4.BeautifulSoup(self.driver.page_source, "html.parser")
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chat = soup.find("div", class_=re.compile("flex flex-col items-center text-sm"))
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return chat
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def get_last_chat(self):
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"""Get the last chat message"""
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soup = bs4.BeautifulSoup(self.driver.page_source, "html.parser")
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#last chat is the last div with class = " group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]"
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chat = soup.find_all("div", class_="""group w-full text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]""")[-1]
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return chat
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def send_message(self, txt):
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textarea = self.driver.find_element(By.XPATH, '//*[@id="__next"]/div[2]/div[2]/main/div[2]/form/div/div[2]/textarea')
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better_send_keys(textarea, txt)
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time.sleep(1)
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button_send = self.driver.find_element(By.XPATH, '//*[@id="__next"]/div[2]/div[2]/main/div[2]/form/div/div[2]/button')
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button_send.click()
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def add_run_button(self):
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#html of a big red button with border-radius of 10%, green background and white text pady by 10px up and padx by 10px left
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button_html = '<button id="continueButton" style="position: fixed; bottom: 10px; right: 10px; font-size: 2em; background-color: green; color: white; border-radius: 10%;">Continue</button>'
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xpath = """//*[@id="__next"]/div[2]/div[2]/main/div[2]/div/span"""
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# Find the element using the given XPath
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element = None
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while not element:
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try:
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element = self.driver.find_element(By.XPATH, xpath)
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except:
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time.sleep(0.1)
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# Inject the button after the element found using the XPath
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self.driver.execute_script(f"arguments[0].insertAdjacentHTML('afterend', '{button_html}');", element)
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# Add the click event listener for the button
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self.driver.execute_script("""
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document.getElementById('continueButton').addEventListener('click', function() {
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window.loopControl1 = 'continue';
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});
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""")
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def add_send_result_button(self):
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#html of a big red button with border-radius of 10%, green background and white text pady by 10px up and padx by 10px left
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button_html = '<button id="sendResultButton" style="position: fixed; bottom: 10px; right: 10px; font-size: 2em; background-color: green; color: white; border-radius: 10%;">Send result</button>'
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xpath = """//*[@id="__next"]/div[2]/div[2]/main/div[2]/div/span"""
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# Find the element using the given XPath
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element = None
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while not element:
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try:
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element = self.driver.find_element(By.XPATH, xpath)
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except:
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time.sleep(0.1)
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# Inject the button after the element found using the XPath
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self.driver.execute_script(f"arguments[0].insertAdjacentHTML('afterend', '{button_html}');", element)
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# Add the click event listener for the button
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self.driver.execute_script("""
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document.getElementById('sendResultButton').addEventListener('click', function() {
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window.loopControl2 = 'send_result';
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});
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""")
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def close(self):
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self.driver.close()
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54
chatgpt_code_interface/exec_python_code.py
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chatgpt_code_interface/exec_python_code.py
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import sys
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import importlib.util
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import io
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import contextlib
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import traceback
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def create_namespace():
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module_name = "__main__"
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module_spec = importlib.util.spec_from_loader(module_name, loader=None)
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module = importlib.util.module_from_spec(module_spec)
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sys.modules[module_name] = module
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return module.__dict__
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def run_code(code_str, namespace):
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# redirect stdout to a buffer to capture output
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buffer = io.StringIO()
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with contextlib.redirect_stdout(buffer):
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try:
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# compile the code
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code = compile(code_str, "<string>", "exec")
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# execute the code in the given namespace
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exec(code, namespace)
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except Exception as e:
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# print any errors to the buffer
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print(f"Error: {e}", file=buffer)
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traceback.print_exc(file=buffer)
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# return the captured output or error message as a string
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result = buffer.getvalue().strip()
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if result:
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return result
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else:
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return "---\nProcess finished with no output\n---"
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def test():
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code_str1 = '''import numpy as np\nimport matplotlib.pyplot as plt'''
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code_str2 = '''x = np.linspace(0, 10, 100)\ny = np.sin(x)\nplt.plot(x, y)\nplt.show()'''
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namespace = create_namespace()
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result1 = run_code(code_str1, namespace)
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result2 = run_code(code_str2, namespace)
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def test2():
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code_str1 = '''import os'''
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result = run_code(code_str1, create_namespace())
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print(result)
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if __name__ == '__main__':
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test()
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chatgpt_code_interface/exec_term_code.py
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chatgpt_code_interface/exec_term_code.py
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import os
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import subprocess
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import time
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class Shell:
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def __init__(self):
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self.cwd = os.getcwd()
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self.env = os.environ.copy()
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if os.name == 'nt':
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self.env['PATH'] += os.pathsep + os.getcwd()
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def run_command(self, command_string, input=None):
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exit_code, stdout, stderr = 1, 'error', 'error'
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if input is not None:
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input = input.encode('utf-8')
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commands = command_string.split('\n')
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results = []
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for command in commands:
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command = command.strip()
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args = command.split(" ")
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if args[0] == 'cd':
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if len(args) > 1:
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path = os.path.join(self.cwd, args[1])
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if os.path.exists(path) and os.path.isdir(path):
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self.cwd = os.path.abspath(path)
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exit_code, stdout, stderr = 0, '', ''
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else:
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exit_code, stdout, stderr = 1, '', f"cd: {path}: No such file or directory"
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elif os.name == 'nt':
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result = subprocess.run(command, cwd=self.cwd, env=self.env, input=input, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, text=False)
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exit_code, stdout, stderr = result.returncode, result.stdout.decode('utf-8', errors='ignore'), result.stderr.decode('utf-8', errors='ignore')
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else:
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result = subprocess.run(args, cwd=self.cwd, env=self.env, input=input, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, text=False)
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exit_code, stdout, stderr = result.returncode, result.stdout.decode('utf-8',errors='ignore'), result.stderr.decode('utf-8', errors='ignore')
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results.append((command, exit_code, stdout, stderr))
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str_results = ""
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for result in results:
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command,exit_code, stdout, stderr = result
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str_results += f"result for command: {command} :\n exit_code: {exit_code}\n stdout: {stdout}\n stderr: {stderr}\n---------\n"
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return str_results
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shell = Shell()
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def run_shell_command(command_string, input=None):
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return shell.run_command(command_string, input)
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def test():
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a = run_shell_command("cd ..\n\ndir")
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print(type(a))
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print(a)
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if __name__ == '__main__':
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test()
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24
chatgpt_code_interface/formating_tools.py
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chatgpt_code_interface/formating_tools.py
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import bs4
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from collections import namedtuple
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CodeBloc = namedtuple('CodeBloc', ['language', 'code'])
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def remove_trailing_newline(s):
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if s.endswith('\n'):
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return s[:-1]
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return s
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def isolate_code_bloc(soup):
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pre_tab = soup.find_all("pre")
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code_bloc = []
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for code in pre_tab:
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#print(code.text)
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motif = "Copy code"
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finding = code.text.find(motif)
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code_content = code.text[finding+len(motif):]
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language = code.text[:finding]
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code_bloc.append(CodeBloc(language.strip(), remove_trailing_newline(code_content)))
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print(code_bloc)
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return code_bloc
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chatgpt_code_interface/main.py
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chatgpt_code_interface/main.py
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from driver import GPTDriver
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from exec_python_code import create_namespace, run_code
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from exec_term_code import run_shell_command
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from formating_tools import isolate_code_bloc
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import time
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gpt_driver = GPTDriver()
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import time
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def connect_to_gpt_driver():
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gpt_driver.connect()
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gpt_driver.add_run_button()
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time.sleep(3)
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def execute_codes(codes):
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answer = ""
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for code in codes:
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if 'python' in code.language.lower():
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ans = run_code(code.code, create_namespace())
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else:
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ans = run_shell_command(code.code)
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answer += ans + "\n"
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return answer
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def wait_continue_button_click():
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loop_control = gpt_driver.driver.execute_script("return window.loopControl1;")
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while loop_control != 'continue':
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time.sleep(0.5)
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loop_control = gpt_driver.driver.execute_script("return window.loopControl1;")
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gpt_driver.driver.execute_script("window.loopControl1 = 'stop';")
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def wait_send_results_click():
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loop_control = gpt_driver.driver.execute_script("return window.loopControl2;")
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while loop_control != 'send_result':
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time.sleep(0.5)
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loop_control = gpt_driver.driver.execute_script("return window.loopControl2;")
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gpt_driver.driver.execute_script("window.loopControl2 = 'stop';")
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def main(launch_first_prompt=False, first_prompt=None):
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"""Main function"""
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"""
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-----------------
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first prompt and execution
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-----------------
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"""
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connect_to_gpt_driver()
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first_prompt = """ I now give you access to a windows computer with python on it.
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You just have to write code in code blocs and a I will automatically execut it and send you the output.
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Don't ask the computer to change your code our anything else, it will not understand.
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So form now on, I will ONLY send you the output of your last python bloc commands you wrote, you can't use os module\n
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don't ask me anything else, and YOU will ONLY give me some code to execute.
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Now gather as much information as possible about the limitations of GPT4 and how to overcome them
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You can only use python to gather online information. bs4 and other usefull libs are already installed YOU DON'T NEED TO INSTALL THINGS\n
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Sum up the infos in a few lines and get them in a file. Continue gathering information
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And when you have enough information, write a little article on 'How to get the full potential of GPT4'
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Your responses should always START with a small reasoning message, then a small todolist with check or X, then the message 'I must gather information online about GPT4 using python, I send code to do that, I HAVE TO ALWAYS VERIFY it worked fine (use print for debugging), then I'll sum up what I learnt in a file \
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I have to do those things myself without help and I can't ask for any handmade code modification. I can't use an API' """
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"""
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-----------------
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main loop
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-----------------
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"""
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if launch_first_prompt:
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answer = first_prompt
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else:
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answer = ""
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for j in range(100):
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print(f"ITERATION {j}")
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gpt_driver.send_message(answer)
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gpt_driver.wait_answer()
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wait_continue_button_click()
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answer = gpt_driver.get_last_chat()
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codes = isolate_code_bloc(answer)
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answer = execute_codes(codes)
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time.sleep(1)
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if (j + 5) % 24 == 0:
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# Wait 3 hours. GPT-4 is limited to 25 requests per 3 hours
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time.sleep(60 * 60 * 3)
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if __name__ == "__main__":
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main()
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6
chatgpt_code_interface/requirements.txt
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chatgpt_code_interface/requirements.txt
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selenium==4.8.3
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urllib3==1.26.6
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matplotlib==3.5.3
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undetected-chromedriver==3.4.6
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beautifulsoup4==4.12.0
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