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import json
import re
import subprocess
import sys
from pathlib import Path
import tiktoken
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
def start_chat(model: str, styler):
sys.stdout.write('\033[2J\033[H')
styler.prompt("none", "")
styler.prompt("system", "Welcome to cli-gpt. You may type your questions, or seek additional functionality via '/help'.")
styler.prompt("system", f"Currently using model '{model}'.")
return [{"role": "system", "content": "You are a helpful assistant. Do not repeat the contents of a file or URL if passed through for context."}]
def get_token_count(messages: list, model: str):
total_tokens: int = 0
encoding = tiktoken.encoding_for_model(model)
for message in messages:
if message.get("role") == "system":
continue
text = message.get("content", "")
message_tokens = len(encoding.encode(text))
total_tokens += message_tokens
return total_tokens
class HelpCommands:
options: dict = {
"/exit": "Closes the chat.",
"/context": "Passthrough a URL or filepath to add context into the chat history.",
"/help": "Display this list of available commands.",
"/load": "Load in a previous chat's JSON file.",
"/save": "Saves messages to specified JSON file and closes chat.",
"/clear": "Clears all messages and tokens from the chatlog, restarting the chat.",
"/model": "Change the model being used.",
"/info": "Print model information and cli-gpt version.",
"/write": "Write out any code from the previous message to a specified file.",
"/copy": "Copy code snippets from the previous message into the copy buffer.", #TODO
}
text_models = [
"gpt-3.5-turbo",
"gpt-4",
"gpt-4-32k",
"gpt-4-0613",
"gpt-4-32k-0613",
"gpt-4-32k-0613",
"gpt-4-1106-preview",
"gpt-4-vision-preview",
]
image_models = [
"dall-e-2", #TODO
"dall-e-3", #TODO
]
model_type = None
def __init__(self, model: str):
if model in self.text_models:
self.model_type = "text"
elif model in self.image_models:
self.model_type = "image"
else:
raise TypeError(f"System: Model '{model}' is not available. Please start again and re-specify model version, or leave blank.")
def command(self, user_input: str, messages: list, model: str, styler) -> (int, list, str):
if user_input.lower() in list(self.options.keys()):
user_input_lower = user_input.lower()
if "/exit" in user_input_lower:
return 1, [None], ""
if "/context" in user_input_lower:
styler.prompt("system", "Would you like to provide a 'URL' or 'file' path? (or '/cancel')")
context_input = styler.prompt("user", "")
if "/cancel" in context_input:
return 2, messages, model
elif "url" in context_input.lower():
styler.prompt("system", "CAUTION: Loading certain websites requires a large amount of tokens. You may require a different model to not hit the max token amount.")
styler.prompt("system", "Be mindful of API token usage cost when importing websites. You may check your usage amount at https://platform.openai.com/usage\n")
styler.prompt("system", "Please specify a full URL you woulkd like to read from. (or '/cancel')")
while True:
url_input = styler.prompt("user", "")
if "/cancel" in url_input:
return 2, messages, model
else:
try:
options = Options()
options.headless = True
options.binary_location = "/usr/bin/firefox"
driver = webdriver.Firefox(options=options)
driver.get(url_input)
rendered_html = driver.page_source
messages.append({"role": "user", "content": f"For context I would like to add the contents of file {url_input} to this chat: {rendered_html}"})
driver.quit()
return 0, messages, model
except Exception as e:
styler.prompt("system", f"ERROR: {e}")
styler.prompt("system", "Error: URL could not be accessed. Please try again.")
elif "file" in context_input.lower():
styler.prompt("system", "Please specify the filepath you woulkd like to read from. (or '/cancel')")
while True:
filepath_input = styler.prompt("user", "")
if "/cancel" in filepath_input:
return 2, messages, model
else:
try:
with open(Path(filepath_input), "r") as file:
file_contents = file.readlines()
messages.append({"role": "user", "content": f"For context I would like to add the contents of file {filepath_input} to this chat: {file_contents}"})
return 0, messages, model
except Exception as e:
styler.prompt("system", f"ERROR: {e}")
styler.prompt("system", "Error: Filepath could not be accessed. Please try again.")
if "/help" in user_input_lower:
styler.prompt("system", "Below is a list of available commands.")
for key in list(self.options.keys()):
styler.prompt("none", f" - {key}: {self.options[key]}")
return 2, messages, model
if "/load" in user_input_lower:
styler.prompt("system", "Please specify the filepath you would like to load in from, or '/cancel'.")
path = input("Path: ")
if path != "/cancel":
with open(Path(path), "r") as file:
messages = json.load(file)
styler.prompt("system", f"Successfully read in from {path}. Continuing chat.")
return 2, messages, model
if "/save" in user_input_lower:
status, destination = self._save(messages)
if status == 1:
return 2, messages, model
styler.prompt("system", f"Successfully saved to {destination}. Closing chat.")
return 1, [None], ""
if "/clear" in user_input_lower:
styler.prompt("system", "Clearing messages and restarting log.\n\n")
messages = start_chat(model, styler)
return 2, messages, model
if "/info" in user_input_lower:
styler.prompt("system", f"This chatlog has used {get_token_count(messages, model)} token for model version '{model}'.")
styler.prompt("system", "Currently using cli-gpt version 0.0.1.")
return 2, messages, model
if "/model" in user_input_lower:
styler.prompt("system", "Below is a list of available models. View up-to-date model information in the OpenAI API documentation.")
styler.prompt("none", "\n - Text Models")
for list_model in self.text_models:
styler.prompt("none", f" - {list_model}")
styler.prompt("none", "\n - Image Models")
for list_model in self.image_models:
styler.prompt("none", f" - {list_model}")
styler.prompt("system", "Change model version below, use '/list' to reprint available models, or '/cancel' to return to chat.")
new_model = input("\nModel: ")
while new_model not in self.text_models and new_model not in self.image_models:
if new_model == "/list":
styler.prompt("system", "Below is a list of available models. View up-to-date model information in the OpenAI API documentation.")
styler.prompt("none", "\n - Text Models")
for list_model in self.text_models:
styler.prompt("none", f" - {list_model}")
styler.prompt("none", "\n - Image Models")
for list_model in self.image_models:
styler.prompt("none", f" - {list_model}")
elif new_model == "/cancel":
return 2, messages, model
else:
print(f"System: '{new_model}' is not an accepted model. Use 'list' to output available models.")
new_model = input("\nModel: ")
# "image" models and "text" models behave different, handle switching
if (self.model_type == "text" and new_model in self.image_models) or (self.model_type == "image" and new_model in self.text_models):
styler.prompt("system", "Switching between 'text' and 'image' models requires clearing the current message log. Would you like to save before switching models?")
user_save = input("Save? (y,N): ")
if user_save.lower() == "y":
self._save(messages)
return 2, messages, new_model
if "/write" in user_input_lower:
pattern = r'```(.*?)```'
code_blocks = re.findall(pattern, messages[-1]['content'], re.DOTALL)
print(f"\nSystem: Found {len(code_blocks)} code examples.")
for block in code_blocks:
block = re.sub(r'^.*\n', '', block)
print(f"\n{block}")
print("\nSystem: Please specify the filepath you would like to load in from, '/skip' to go to the next snippet, or '/cancel'.")
path = input("Path: ")
if path == "/cancel":
return 2, messages, model
elif path == "/skip":
continue
else:
with open(Path(path), "w+") as file:
file.write(block)
print(f"System: Successfully saved code snippets. Continuing chat.")
return 2, messages, model
messages.append({"role": "user", "content": user_input})
return 0, messages, model
def _save(self, messages):
print("\nSystem: Please specify the filepath you would like to save to as a *.json file, or '/cancel'.")
url = input("Path: ")
if url == "/cancel":
return 1, None
with open(Path(url), "w+") as file:
json.dump(messages, file)
return 0, url
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