Delete humanize.py

humanize.py

@@ -1,47 +0,0 @@
-from transformers import pipeline
-from translatepy import Translator
-import random
-import re
-
-# Cache common translations to reduce costs
-translation_cache = {}
-
-def add_human_quirks(text):
-    """Add imperfections to bypass AI detection"""
-    # Randomly add colloquial phrases
-    colloquial = ["you know", "like", "kinda", "TBH", "tbh", "imo"]
-    words = text.split()
-    if len(words) > 10:
-        insert_pos = random.randint(1, len(words)-1)
-        words.insert(insert_pos, random.choice(colloquial))
-    
-    # Introduce minor typos (0.5% chance per word)
-    modified = []
-    for word in words:
-        if random.random() < 0.005:
-            word = word[:-1] + random.choice(['z', 'x', '!', ''])
-        modified.append(word)
-    
-    return " ".join(modified)
-
-def humanize_text(text, tone):
-    """Use larger model via Replicate API"""
-    # See next section for model choice
-    client = replicate.Client(api_key="YOUR_REPLICATE_KEY")
-    prompt = f"{TONE_PROMPTS[tone]}: {text}"
-    
-    output = client.run(
-        "nousresearch/nous-hermes-2-yi-34b:...",  # Replace with latest version
-        input={"prompt": prompt, "temperature": 0.7}
-    )
-    return add_human_quirks(output)
-
-def translate_text(text, target_lang):
-    """Use Google Cloud Translation for reliability"""
-    translator = Translator()
-    if target_lang in translation_cache:
-        return translation_cache[target_lang]
-    
-    result = translator.translate(text, destination_language=target_lang).result
-    translation_cache[target_lang] = result
-    return result