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Cligpt-2.py
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Cligpt-2.py
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import os
import sys
import json
import requests
from datetime import datetime
# Application configuration information
OPENAI_KEY = os.environ.get("OPENAI_KEY")
MODEL = "gpt-3.5-turbo"
TEMPERATURE = 0.7
MAX_TOKENS = 1024
SIZE = "512x512"
CONTEXT = False
MULTI_LINE_PROMPT = False
# Command generation prompt
COMMAND_GENERATION_PROMPT = (
"You are a Command Line Interface expert, and your task is to provide functioning shell commands. "
"Return a CLI command and nothing else - do not send it in a code block, quotes, or anything else, "
"just the pure text CONTAINING ONLY THE COMMAND. If possible, return a one-line bash command or chain "
"many commands together. Return ONLY the command ready to run in the terminal. The command should do the following:"
)
# Current date
today_date = datetime.today().strftime("%m/%d/%Y")
# Function to send a request to the OpenAI API
def send_request_to_openai(prompt):
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {OPENAI_KEY}"
}
data = {
"model": MODEL,
"prompt": prompt,
"max_tokens": MAX_TOKENS,
"temperature": TEMPERATURE
}
response = requests.post("https://api.openai.com/v1/completions", headers=headers, json=data)
response_data = response.json()
return response_data["choices"][0]["message"]["content"]
# Function to add the assistant's response to the chat message
def add_assistant_response_to_chat_message(response_data):
global chat_message
chat_message += ', {"role": "assistant", "content": "' + response_data + '"}'
# Function to handle command generation
def handle_command_generation(prompt):
request_prompt = COMMAND_GENERATION_PROMPT + prompt
chat_message = '{"role": "user", "content": "' + request_prompt + '"}'
response = send_request_to_openai(chat_message)
response_data = json.loads(response)["choices"][0]["message"]["content"]
print("Processing...")
print(response_data)
# Check for potentially dangerous commands
dangerous_commands = ["rm", ">", "mv", "mkfs", ":(){:|:&};", "dd", "chmod", "wget", "curl"]
for command in dangerous_commands:
if command in response_data:
print("Warning! This command can change your file system or download external scripts & data. Please do not execute code that you don't understand completely.")
run_answer = input("Would you like to execute it? (Yes/No): ")
if run_answer.lower() in ["yes", "y", "ok"]:
print("Executing command:", response_data)
os.system(response_data)
# Function to convert a date string
def convert_date(date_str):
date_obj = datetime.strptime(date_str, "%m/%d/%Y")
return date_obj.strftime("%Y-%m-%d")
# Initialize initial variables
chat_message = ""
prompt = ""
pipe_mode_prompt = ""
running = True
chat_context = ""
system_prompt = (
"You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible. "
"Current date: " + today_date + ". Knowledge cutoff: 9/1/2021."
)
# Validate the API key
if OPENAI_KEY is None:
print("You need to set your OPENAI_KEY to use this script")
print("You can set it temporarily by running this on your terminal: export OPENAI_KEY=YOUR_KEY_HERE")
sys.exit(1)
# Function to append text to the chat history
def append_to_chat_history(message):
global chat_message
chat_message += message + "\n"
# Set command-line options
if len(sys.argv) > 1:
if sys.argv[1] == "-l" or sys.argv[1] == "--list":
list_models()
with open(os.path.expanduser("~/.chatgpt_history"), "w") as history_file:
history_file.write("")
# Set chat input mode
if sys.stdin.isatty():
print("Welcome to chatgpt. You can quit with 'exit' or 'q'.")
if not MULTI_LINE_PROMPT:
append_to_chat_history(input("Enter a prompt: "))
else:
pipe_mode_prompt = sys.stdin.read()
while running:
if not pipe_mode_prompt:
if MULTI_LINE_PROMPT:
print("Enter a prompt: (Press Enter then Ctrl-D to send)")
user_input_temp_file = open("user_input_temp_file.txt", "w")
user_input_temp_file.write(sys.stdin.read())
user_input_temp_file.close()
with open("user_input_temp_file.txt", "r") as file:
input_from_temp_file = file.read()
os.remove("user_input_temp_file.txt")
prompt = input_from_temp_file
else:
print("Enter a prompt:")
prompt = input()
if prompt.lower() in ["exit", "q"]:
running = False
if prompt.startswith("image:"):
image_prompt = prompt[len("image:") :]
response = send_request_to_openai(image_prompt)
image_url = json.loads(response)["data"][0]["url"]
print(f"Your image was created.\nLink: {image_url}")
open_image = input("Would you like to open it? (Yes/No): ")
if open_image.lower() in ["yes", "y", "ok"]:
print("Opening image...")
try:
if sys.platform == "win32":
os.system(f"start {image_url}")
else:
os.system(f"open {image_url}")
except Exception as e:
print(f"Error opening image: {str(e)}")
elif prompt == "history":
with open(os.path.expanduser("~/.chatgpt_history"), "r") as history_file:
print(history_file.read())
elif prompt == "models":
list_models()
elif prompt.startswith("model:"):
model_id = prompt[len("model:") :].strip()
models_response = requests.get("https://api.openai.com/v1/models", headers=headers).json()
models_data = models_response["data"]
model_info = next((model for model in models_data if model["id"] == model_id), None)
if model_info:
print(f"Complete details for model: {model_id}\n{model_info}")
else:
print(f"Model {model_id} not found.")
elif prompt.startswith("command:"):
command_prompt = prompt[len("command:") :].strip()
handle_command_generation(command_prompt)
elif MODEL.startswith("gpt-"):
response = send_request_to_openai(prompt)
response_data = json.loads(response)["choices"][0]["message"]["content"]
print("Processing...")
print(response_data)
add_assistant_response_to_chat_message(response_data)
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M")
append_to_chat_history(f"{timestamp{prompt}\n{response_data}")
else:
response = send_request_to_openai(prompt)
response_data = json.loads(response)["choices"][0]["text"]
print("Processing...")
print(response_data)
if CONTEXT:
chat_context += f"\nQ: {prompt}"
while len(chat_context.split()) * 1.3 > (MAX_TOKENS - 100):
chat_context = chat_context[chat_context.find("\n") + 1 :]
chat_context = f"{system_prompt}\n{chat_context}"
response_data = response_data[2:] # Remove 'A: ' prefix
print(response_data)
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M")
append_to_chat_history(f"{timestamp} {prompt}\n{response_data}")
if CONTEXT:
chat_context += f"\nA: {response_data}"
while len(chat_context.split()) * 1.3 > (MAX_TOKENS - 100):
chat_context = chat_context[chat_context.find("\n") + 1 :]
chat_context = f"{system_prompt}\n{chat_context}"
sys.exit(0)