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WhatDidYouExpect 2025-07-16 20:11:08 +02:00
parent 4ff0630d66
commit c565f962c5
3 changed files with 19 additions and 15 deletions
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0
assets/cogs/webserver.py.disabled → assets/cogs/webserver.py
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5
bot.py
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@ -225,7 +225,7 @@ async def talk(ctx: commands.Context, sentence_size: int = 5) -> None:
# Command: Generate an image
@bot.hybrid_command(description=f"{(_('command_desc_help'))}")
async def impact(ctx: commands.Context) -> None:
async def impact(ctx: commands.Context, text: Optional[str] = None) -> None:
assets_folder: str = "assets/images"
temp_input: Optional[str] = None
@ -259,7 +259,8 @@ async def impact(ctx: commands.Context) -> None:
shutil.copy(fallback_image, temp_input)
input_path = temp_input
output_path: Optional[str] = await gen_meme(input_path)
output_path: Optional[str] = await gen_meme(input_path, custom_text=text)
if output_path is None or not os.path.isfile(output_path):
if temp_input and os.path.exists(temp_input):

29
modules/image.py
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@ -37,7 +37,7 @@ def split_text_to_fit(text, font, max_width, draw):
midpoint = len(words) // 2
return " ".join(words[:midpoint]), " ".join(words[midpoint:])
async def gen_meme(input_image_path, sentence_size=5, max_attempts=10):
async def gen_meme(input_image_path, sentence_size=5, max_attempts=10, custom_text=None):
markov_model = load_markov_model()
if not markov_model or not os.path.isfile(input_image_path):
return None
@ -52,19 +52,22 @@ async def gen_meme(input_image_path, sentence_size=5, max_attempts=10):
font = load_font(font_size)
response = None
for _ in range(20):
if sentence_size == 1:
candidate = markov_model.make_short_sentence(max_chars=100, tries=100)
if candidate:
candidate = candidate.split()[0]
else:
candidate = markov_model.make_sentence(tries=100, max_words=sentence_size)
if custom_text:
response = custom_text
else:
for _ in range(20):
if sentence_size == 1:
candidate = markov_model.make_short_sentence(max_chars=100, tries=100)
if candidate:
candidate = candidate.split()[0]
else:
candidate = markov_model.make_sentence(tries=100, max_words=sentence_size)
if candidate and candidate not in generated_sentences:
if sentence_size > 1:
candidate = improve_sentence_coherence(candidate)
generated_sentences.add(candidate)
response = candidate
if candidate and candidate not in generated_sentences:
if sentence_size > 1:
candidate = improve_sentence_coherence(candidate)
generated_sentences.add(candidate)
response = candidate
break
if not response: