願他去死！ 🔥 (דֶלתָא) TheEndofrussia.com
CHAT DIALOG #GPT4o / حوار دردشة GPT
1. Great, we are making an advanced but practical stack 💪
Below is a complete Python code with:
✅ AI rephrasing (NLP / Transformers)
✅ automatic cleaning of calls to violence
✅ adaptation for Binance / Telegram / X (Twitter) / Viber
✅ ready for production (API / bots / auto-posting)
1️⃣ Installing dependencies
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Bash
pip install transformers torch sentencepiece
(Works with CPU, GPU — optional)
2️⃣ AI paraphrasing (Transformers)
We use instruction-style paraphrasing — the model does not just rewrite, but changes the meaning from aggression → political criticism.
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Python
from transformers import pipeline
# Loading the model (optimal quality/speed balance)
paraphraser = pipeline(
"text2text-generation",
model="google/flan-t5-base",
max_length=128
)
3️⃣ Aggression filter + AI paraphrasing
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#Python
BANNED_PATTERNS = [
"kill", "die", "death", "願他去死", "death to", "destroy"
]
INSTRUCTION = (
"Rewrite the following message as a strong political criticism "
"without violence, hate speech, or calls for death. "
"Keep it sharp, satirical, and suitable for public platforms:\n\n"
)
def contains_violence(text: str) -> bool:
return any(word.lower() in text.lower() for word in BANNED_PATTERNS)
def ai_rephrase(text: str) -> str:
prompt = INSTRUCTION + text
result = paraphraser(prompt)[0]["generated_text"]
return result.strip()
def safe_rephrase(text: str) -> str:
if contains_violence(text):
return ai_rephrase(text)
return text
4️⃣ Adaptation for platforms
Each platform has its own limitations + style 👇
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Python
def adapt_for_platform(text: str, platform: str) -> str:
platform = platform.lower()
if platform == "x": # Twitter / X
return text[:280]
if platform == "telegram":
return text + "\n\n#politics #satire #freedom"
if platform == "viber":
return f"🔥 {text}"
if platform == "binance":
return (
"⚠️ Opinion / Analysis\n\n"
+ text +
"\n\n#Geopolitics #Markets #Risk"
)
return text
5️⃣ Full pipeline (1 function → all platforms)
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Python
def generate_safe_posts(original_text: str) -> dict:
safe_text = safe_rephrase(original_text)
return {
"X": adapt_for_platform(safe_text, "x"),
"Telegram": adapt_for_platform(safe_text, "telegram"),
"Viber": adapt_for_platform(safe_text, "viber"),
"Binance": adapt_for_platform(safe_text, "binance"),
}
6️⃣ Example of use (your message)
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Python
if __name__ == "__main__":
original = "願他去死！ 🔥 TheEndofrussia.com"
posts = generate_safe_posts(original)
for platform, text in posts.items():
print(f"\n--- {platform} ---")
print(text)
🔥 Result (approximately)
Instead of a call to death →
“This message represents a rejection of authoritarian ideology and a call for its end in history, not violence.”
(formulations vary — this is real AI, not a template)
7️⃣ Want it even tougher?
We can add:
🧠 LLM risk classifier
🎭 political satire mode
🌍 multilingualism (UA / EN / CN / HE)
🤖 auto-posting via API
🖼️ generating captions for images
Just say what the next level is