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probably wasnt a good idea tbh

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WhatDidYouExpect 2025-07-16 12:15:17 +02:00
parent e333e9bba2
commit 5c81bcca68
3 changed files with 2 additions and 4 deletions
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2
assets/locales/en.json
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@ -99,7 +99,7 @@
"command_markov_retrain": "Retraining the Markov model... Please wait.", "command_markov_retrain": "Retraining the Markov model... Please wait.",
"command_markov_memory_not_found": "Error: memory file not found!", "command_markov_memory_not_found": "Error: memory file not found!",
"command_markov_memory_is_corrupt": "Error: memory file is corrupt!", "command_markov_memory_is_corrupt": "Error: memory file is corrupt!",
"command_markov_retraining": "Processing {processed_data}/{data_size} data points...", "command_markov_retraining": "Processing {data_size} data points...",
"command_markov_retrain_successful": "Markov model retrained successfully using {data_size} data points!", "command_markov_retrain_successful": "Markov model retrained successfully using {data_size} data points!",
"command_desc_talk":"talks n like stuf", "command_desc_talk":"talks n like stuf",
"command_talk_insufficent_text": "I need to learn more from messages before I can talk.", "command_talk_insufficent_text": "I need to learn more from messages before I can talk.",

2
assets/locales/it.json
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@ -100,7 +100,7 @@
"command_markov_retrain": "Rafforzamento del modello Markov in corso... Attendere.", "command_markov_retrain": "Rafforzamento del modello Markov in corso... Attendere.",
"command_markov_memory_not_found": "Errore: file di memoria non trovato!", "command_markov_memory_not_found": "Errore: file di memoria non trovato!",
"command_markov_memory_is_corrupt": "Errore: file di memoria corrotto!", "command_markov_memory_is_corrupt": "Errore: file di memoria corrotto!",
"command_markov_retraining": "Elaborazione di {processed_data}/{data_size} punti dati...", "command_markov_retraining": "Elaborazione di {data_size} punti dati...",
"command_markov_retrain_successful": "Modello Markov rafforzato con successo utilizzando {data_size} punti dati!", "command_markov_retrain_successful": "Modello Markov rafforzato con successo utilizzando {data_size} punti dati!",
"command_desc_talk": "parla n come stuf", "command_desc_talk": "parla n come stuf",
"command_talk_insufficent_text": "Ho bisogno di imparare di più dai messaggi prima di poter parlare.", "command_talk_insufficent_text": "Ho bisogno di imparare di più dai messaggi prima di poter parlare.",

2
bot.py
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@ -180,8 +180,6 @@ async def retrain(ctx: commands.Context) -> None:
for i, data in enumerate(memory): for i, data in enumerate(memory):
processed_data += 1 processed_data += 1
if processed_data % 1000 == 0 or processed_data == data_size:
await send_message(ctx, f"{_('command_markov_retraining').format(processed_data=processed_data, data_size=data_size)}", edit=True, message_reference=processing_message_ref)
global markov_model global markov_model
markov_model = train_markov_model(memory) markov_model = train_markov_model(memory)