1 files changed, 142 insertions, 0 deletions
diff --git a/src/gpt_chat_cli/gcli.py b/src/gpt_chat_cli/gcli.py
new file mode 100644
index 0000000..ded6d6c
--- /dev/null
+++ b/src/gpt_chat_cli/gcli.py
@@ -0,0 +1,142 @@
+#!/bin/env python3
+
+import argparse
+import sys
+import openai
+import pickle
+
+from collections import defaultdict
+from dataclasses import dataclass
+from typing import Tuple
+
+from .openai_wrappers import (
+    create_chat_completion,
+    OpenAIChatResponse,
+    OpenAIChatResponseStream,
+    FinishReason,
+)
+
+from .argparsing import (
+    parse_args,
+    AutoDetectedOption,
+)
+
+from .color import get_color_codes
+
+###########################
+####   SAVE / REPLAY   ####
+###########################
+
+def create_chat_completion_from_args(args : argparse.Namespace) \
+        -> OpenAIChatResponseStream:
+    return create_chat_completion(
+        model=args.model,
+        messages=[{ "role": "user", "content": args.message }],
+        n=args.n_completions,
+        temperature=args.temperature,
+        presence_penalty=args.presence_penalty,
+        frequency_penalty=args.frequency_penalty,
+        max_tokens=args.max_tokens,
+        top_p=args.top_p,
+        stream=True
+    )
+
+def save_response_and_arguments(args : argparse.Namespace) -> None:
+    completion = create_chat_completion_from_args(args)
+    completion = list(completion)
+
+    filename = args.save_response_to_file
+
+    with open(filename, 'wb') as f:
+        pickle.dump((args, completion,), f)
+
+def load_response_and_arguments(args : argparse.Namespace) \
+        -> Tuple[argparse.Namespace, OpenAIChatResponseStream]:
+
+    filename = args.load_response_from_file
+
+    with open(filename, 'rb') as f:
+        args, completion = pickle.load(f)
+
+    return (args, completion)
+
+#########################
+#### PRETTY PRINTING ####
+#########################
+
+@dataclass
+class CumulativeResponse:
+    content: str = ""
+    finish_reason: FinishReason = FinishReason.NONE
+
+    def take_content(self : "CumulativeResponse"):
+        chunk = self.content
+        self.content = ""
+        return chunk
+
+def print_streamed_response(args : argparse.Namespace, completion : OpenAIChatResponseStream):
+    """
+    Print the response in real time by printing the deltas as they occur. If multiple responses
+    are requested, print the first in real-time, accumulating the others in the background. One the
+    first response completes, move on to the second response printing the deltas in real time. Continue
+    on until all responses have been printed.
+    """
+
+    COLOR_CODE = get_color_codes(no_color = args.color == AutoDetectedOption.OFF)
+    ADORNMENTS = args.adornments == AutoDetectedOption.ON
+    N_COMPLETIONS = args.n_completions
+
+    cumu_responses = defaultdict(CumulativeResponse)
+    display_idx = 0
+    prompt_printed = False
+
+    for update in completion:
+
+        for choice in update.choices:
+            delta = choice.delta
+
+            if delta.content:
+                cumu_responses[choice.index].content += delta.content
+
+            if choice.finish_reason is not FinishReason.NONE:
+                cumu_responses[choice.index].finish_reason = choice.finish_reason
+
+        display_response = cumu_responses[display_idx]
+
+        if not prompt_printed and ADORNMENTS:
+            res_indicator = '' if N_COMPLETIONS == 1 else \
+                    f' {display_idx + 1}/{n_completions}'
+            PROMPT = f'[{COLOR_CODE.GREEN}{update.model}{COLOR_CODE.RESET}{COLOR_CODE.RED}{res_indicator}{COLOR_CODE.RESET}]'
+            prompt_printed = True
+            print(PROMPT, end=' ', flush=True)
+
+
+        content = display_response.take_content()
+        print(f'{COLOR_CODE.WHITE}{content}{COLOR_CODE.RESET}',
+              sep='', end='', flush=True)
+
+        if display_response.finish_reason is not FinishReason.NONE:
+            if display_idx < N_COMPLETIONS:
+                display_idx += 1
+                prompt_printed = False
+
+            if ADORNMENTS:
+                print(end='\n\n', flush=True)
+            else:
+                print(end='\n', flush=True)
+
+def main():
+    args = parse_args()
+
+    if args.save_response_to_file:
+        save_response_and_arguments(args)
+        return
+    elif args.load_response_from_file:
+        args, completion = load_response_and_arguments(args)
+    else:
+        completion = create_chat_completion_from_args(args)
+
+    print_streamed_response(args, completion)
+
+if __name__ == "__main__":
+    main()