Moving API key location to 'key', file restructure

1 files changed, 0 insertions, 80 deletions

diff --git a/chat.py b/chat.py
deleted file mode 100644
index 1221d8e..0000000
--- a/chat.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import queue
-import sys
-import os
-import threading
-import time
-
-import curses
-from openai import OpenAI
-
-from help import HelpCommands, start_chat
-from style import StyleLog
-
-# Read in token from "token" file
-# TODO: env variable in future?
-with open("token", "r") as file:
-    token = file.readlines()
-client = OpenAI(api_key=token[0].strip())
-
-def text_call(api_call_queue, messages, model):
-    response = client.chat.completions.create(
-        model=model,
-        messages=messages
-    )
-    api_call_queue.put(response.choices[0].message.content)
-
-def image_call(api_call_queue, messages, model):
-    response = client.chat.completions.create(
-        model=model,
-        messages=messages
-    )
-    api_call_queue.put(response.choices[0].message.content)
-
-def main():
-
-    model = ""
-    if len(sys.argv) > 1:
-        model = sys.argv[1]
-    else:
-        model = "gpt-3.5-turbo"
-
-    helper = HelpCommands(model)
-    styler = StyleLog()
-    messages = start_chat(model, styler)
-
-    while True:
-
-        user_input = styler.prompt("user", "")
-
-        status, messages, model = helper.command(user_input, messages, model, styler)
-        if status == 1:
-            break
-        elif status == 2:
-            continue
-
-        global api_call_done
-        api_call_done = threading.Event()
-        api_call_queue = queue.Queue()
-
-        if model == "dall-e-2" or model == "dall-e-3":
-            response_thread = threading.Thread(target=image_call, args=(api_call_queue, messages, model,))
-        else:
-            response_thread = threading.Thread(target=text_call, args=(api_call_queue, messages, model,))
-        response_thread.start()
-
-        ellipsis_thread = threading.Thread(target=styler.show_ellipsis, args=(api_call_done,))
-        ellipsis_thread.start()
-
-        response_thread.join()
-        api_call_done.set()
-        ellipsis_thread.join()
-
-        ai_response = api_call_queue.get()
-        messages.append({"role": "assistant", "content": ai_response})
-        styler.prompt("assistant", f"{ai_response}\n")
-
-        # TODO: Add some form of token check, as to not overflow
-
-
-if __name__ == "__main__":
-    main()