Initial work

1 files changed, 77 insertions, 0 deletions

diff --git a/chat.py b/chat.py
new file mode 100644
index 0000000..5b4f2aa
--- /dev/null
+++ b/chat.py
@@ -0,0 +1,77 @@
+import queue
+import sys
+import threading
+import time
+
+from openai import OpenAI
+
+from help import HelpCommands, start_chat
+from style import StyleLog as styler
+
+# 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)
+    messages = start_chat(model)
+
+    while True:
+        # TODO: Format output nicer :)
+        user_input = input("\nInput: ")
+
+        status, messages, model = helper.command(user_input, messages, model)
+        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=show_ellipsis)
+        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})
+        print(f"\nAI: {ai_response}\n")
+
+        # TODO: Add some form of token check, as to not overflow
+
+
+if __name__ == "__main__":
+    main()