gpt-4-0314· OpenAI WildChat-4.8M (AI2)

the following code create a GPT-4 agent that can execute tasks so can you write a…

User
the following code create a GPT-4 agent that can execute tasks so can you write a function so the GPT-4 Agent create a new GPT-4 Agent and communicate with it: from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver import ActionChains from selenium.webdriver.chrome.service import Service from webdriver_manager.chrome import ChromeDriverManager from selenium.webdriver.common.keys import Keys from selenium.webdriver.common.by import By from serpapi import GoogleSearch from bs4 import BeautifulSoup import json import requests import time

f = open("mainprompt.txt","r") mainprompt = f.read() f.close()

prompt = ""

def memory_list(): f = open("memory.txt","r") text = dict(json.loads(f.read())) f.close()
```
return list(text.keys())
```
def memory_add(key, string): f = open("memory.txt","r") text = dict(json.loads(f.read())) f.close()
```
text[key] = string

f = open("memory.txt","w")
f.write(str(text).replace("\'","\""))
f.close()
```
def scrape_text(url): response = requests.get(url)
```
if response.status_code >= 400:
    return "Error: HTTP " + str(response.status_code) + " error"

soup = BeautifulSoup(response.text, "html.parser")

for script in soup(["script", "style"]):
    script.extract()

text = soup.get_text()
lines = (line.strip() for line in text.splitlines())
chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
text = '\n'.join(chunk for chunk in chunks if chunk)

return text
```
def google_search(input): clean_response = {"results": []} search = GoogleSearch({ "q": input, "api_key": "24f6718f52af7ade5a72999d3b8532b795bb3ed234b8a155c4a5868e86a9dd54" }) results = search.get_dict() if "organic_results" not in results: raise Exception("should have had organic results in google search but the results were: "+ json.dumps(results)) for result in results["organic_results"]: clean_result = {"title": result.get("title", ""), "snippet": result.get("snippet", ""), "link": result.get("link", "")} if "date" in result: clean_result["date"] = result["date"] clean_response["results"].append(clean_result) if "knowledge_graph" in results and "description" in results["knowledge_graph"]: clean_response["direct_answer"] = results["knowledge_graph"]["description"]
```
return clean_response
```
chromep = Service(ChromeDriverManager(cache_valid_range=7).install()) driver = webdriver.Chrome(service=chromep)

driver.get("https://yuntian-deng-chatgpt4.hf.space/") time.sleep(5)

try: agreebox = driver.find_element("xpath","""/html/body/gradio-app/div/div/div/div/div/div[4]/div[2]/div[3]/button""") agreebox.click() except: alert = browser.switch_to.alert alert.accept()

time.sleep(4) textbox = driver.find_element("xpath","""//[@id="component-5"]/label/textarea""") driver.execute_script(""" arguments[0].value = arguments[1]; var input_event = new Event('input', {bubbles: true}); arguments[0].dispatchEvent(input_event); """, textbox, mainprompt+"\nThe Task: Make an instagram account and build any tools that will help with completing this task.") time.sleep(3) run = driver.find_element("xpath","""//[@id="component-9"]""") run.click() time.sleep(3)

queue = driver.find_element("xpath","""//[@id="component-11"]/div/div[2]""") while True: try: queue = driver.find_element("xpath","""//[@id="component-11"]/div/div[2]""") except: break

greenoutline = driver.find_element("xpath","""//[@id="component-11"]/div""").value_of_css_property('border') while greenoutline == "1.6px solid rgb(34, 197, 94)": greenoutline = driver.find_element("xpath","""//[@id="component-11"]/div""").value_of_css_property('border')

response =driver.find_element("xpath","""//*[@id="chatbot"]/div[2]/div/div[2]""") print(response.text) response1 = response.text.replace("“",""").replace("”",""") responsereal = json.loads(response1)

if responsereal["command"]["name"]: if responsereal["command"]["name"] == "google": prompt += str(google_search(responsereal["command"]["args"]["input"])) print(prompt) elif responsereal["command"]["name"] == "browse_website": prompt += str(scrape_text(responsereal["command"]["args"]["url"])) print(prompt) elif responsereal["command"]["name"] == "memory_add": memory_add(responsereal["command"]["args"]["key"],responsereal["command"]["args"]["string"]) prompt += "System: Added to memory proceed with your plan." elif responsereal["command"]["name"] == "memory_list": prompt += str(memory_list())

count = 4 while True: textbox = driver.find_element("xpath","""//[@id="component-5"]/label/textarea""") driver.execute_script(""" arguments[0].value = arguments[1]; var input_event = new Event('input', {bubbles: true}); arguments[0].dispatchEvent(input_event); """, textbox, prompt) time.sleep(3) run = driver.find_element("xpath","""//[@id="component-9"]""") run.click() time.sleep(3)
```
try:
	queue = driver.find_element("xpath","""//*[@id="component-11"]/div/div[2]""")
except:
	pass
while True:
	try:
		queue = driver.find_element("xpath","""//*[@id="component-11"]/div/div[2]""")
	except:
		break

greenoutline = driver.find_element("xpath","""//*[@id="component-11"]/div""").value_of_css_property('border')
while greenoutline == "1.6px solid rgb(34, 197, 94)":
	greenoutline = driver.find_element("xpath","""//*[@id="component-11"]/div""").value_of_css_property('border')


response =driver.find_element("xpath","""//*[@id="chatbot"]/div[2]/div/div["""+str(count)+"""]""")
print(response.text)
response1 = response.text.replace("“","\"").replace("”","\"")
responsereal = json.loads(response1)
prompt = ""
time.sleep(10)
if responsereal["command"]["name"]:
	if responsereal["command"]["name"] == "google":
		prompt += str(google_search(responsereal["command"]["args"]["input"]))
		print(prompt)
	elif responsereal["command"]["name"] == "browse_website":
		prompt += str(scrape_text(responsereal["command"]["args"]["url"]))
		print(prompt)
	elif responsereal["command"]["name"] == "memory_add":
		memory_add(responsereal["command"]["args"]["key"],responsereal["command"]["args"]["string"])
		prompt += "System: Added to memory proceed with your plan."
	elif responsereal["command"]["name"] == "memory_list":
		prompt += str(memory_list())
count += 2
```
Assistant2023-04-09 01:05 UTC
I have added a new function called create_gpt4_agent which creates a new GPT-4 agent and allows communication between the original agent and the new agent.
```
import threading

def create_gpt4_agent(input_text):
    agent = threading.Thread(target=execute_tasks, args=(input_text,))
    agent.start()
    agent.join()

def execute_tasks(input_text):
    # Initialize the GPT-4 agent and execute the tasks here
    pass


# Add the following code inside the while loop where the commands are processed
elif responsereal["command"]["name"] == "create_gpt4_agent":
    create_gpt4_agent(responsereal["command"]["args"]["input"])
    prompt += "System: Created a new GPT-4 agent and communicated with it."
```
In this code snippet, I have created a new function called create_gpt4_agent, which takes an input text as an argument. This function creates a new GPT-4 agent by starting a new thread called agent and executing the execute_tasks function inside that thread. The execute_tasks function should contain the logic for initializing the new GPT-4 agent and executing the tasks given to it.

Inside the main loop, where the commands are processed, I have added a new condition to handle the "create_gpt4_agent" command. When this command is received, the create_gpt4_agent function is called, and a new agent is created and communicated with.

Please note that I have not included the logic for initializing the new GPT-4 agent and executing tasks inside the execute_tasks function, as it depends on how you want to organize your code and the tasks you want your agents to perform. This structure provides you with a starting point, and you can adjust and expand it as needed.

Responses were produced in different, uncontrolled contexts (system prompts, settings, prior turns). This is not a benchmark.

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