Upload folder using huggingface_hub

README.md

@@ -1,12 +1,28 @@
 ---
-title: Humanizer V2
-emoji: 🌖
-colorFrom: red
-colorTo: gray
+title: Humanizer V2 - AI Detector Bypass
+emoji: 🔄
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 6.5.0
+sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Humanizer V2 - AI Detector Bypass
+
+Combined approach using adversarial fine-tuned T5 model + StealthWriter-style post-processor.
+
+## Features
+
+- **Adversarial Fine-tuned Model**: Trained on 532 samples that successfully bypassed Originality API
+- **StealthWriter Post-Processor**: Uses proven techniques like expanding contractions, formal expressions
+- **Multi-pass Processing**: Run 2-3 passes for better bypass rates
+
+## Usage
+
+1. Paste your AI-generated text
+2. Enable the StealthWriter post-processor (recommended)
+3. Set the number of passes (2-3 recommended)
+4. Click "Humanize"
+5. Test the output on AI detectors

adversarial_model/added_tokens.json

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+}

adversarial_model/config.json

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+  "model_type": "t5",
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+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 32128
+}

adversarial_model/generation_config.json

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+}

adversarial_model/model.safetensors

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adversarial_model/special_tokens_map.json

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adversarial_model/spiece.model

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adversarial_model/tokenizer_config.json

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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32045": {
+      "content": "<extra_id_54>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32046": {
+      "content": "<extra_id_53>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32047": {
+      "content": "<extra_id_52>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32048": {
+      "content": "<extra_id_51>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32049": {
+      "content": "<extra_id_50>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32050": {
+      "content": "<extra_id_49>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32051": {
+      "content": "<extra_id_48>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32052": {
+      "content": "<extra_id_47>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32053": {
+      "content": "<extra_id_46>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32054": {
+      "content": "<extra_id_45>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32055": {
+      "content": "<extra_id_44>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32056": {
+      "content": "<extra_id_43>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32057": {
+      "content": "<extra_id_42>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32058": {
+      "content": "<extra_id_41>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32059": {
+      "content": "<extra_id_40>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32060": {
+      "content": "<extra_id_39>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32061": {
+      "content": "<extra_id_38>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32062": {
+      "content": "<extra_id_37>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32063": {
+      "content": "<extra_id_36>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32064": {
+      "content": "<extra_id_35>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32065": {
+      "content": "<extra_id_34>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32066": {
+      "content": "<extra_id_33>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32067": {
+      "content": "<extra_id_32>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32068": {
+      "content": "<extra_id_31>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32069": {
+      "content": "<extra_id_30>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32070": {
+      "content": "<extra_id_29>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32071": {
+      "content": "<extra_id_28>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32072": {
+      "content": "<extra_id_27>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32073": {
+      "content": "<extra_id_26>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32074": {
+      "content": "<extra_id_25>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32075": {
+      "content": "<extra_id_24>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32076": {
+      "content": "<extra_id_23>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32077": {
+      "content": "<extra_id_22>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32078": {
+      "content": "<extra_id_21>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32079": {
+      "content": "<extra_id_20>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32080": {
+      "content": "<extra_id_19>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32081": {
+      "content": "<extra_id_18>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32082": {
+      "content": "<extra_id_17>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32083": {
+      "content": "<extra_id_16>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32084": {
+      "content": "<extra_id_15>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32085": {
+      "content": "<extra_id_14>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32086": {
+      "content": "<extra_id_13>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32087": {
+      "content": "<extra_id_12>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32088": {
+      "content": "<extra_id_11>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32089": {
+      "content": "<extra_id_10>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32090": {
+      "content": "<extra_id_9>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32091": {
+      "content": "<extra_id_8>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32092": {
+      "content": "<extra_id_7>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32093": {
+      "content": "<extra_id_6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32094": {
+      "content": "<extra_id_5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32095": {
+      "content": "<extra_id_4>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32096": {
+      "content": "<extra_id_3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32097": {
+      "content": "<extra_id_2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32098": {
+      "content": "<extra_id_1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32099": {
+      "content": "<extra_id_0>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

app.py

@@ -0,0 +1,217 @@
+"""
+Combined Humanizer V2 - Adversarial Model + StealthWriter Post-Processor
+Optimized for bypassing AI detectors using proven techniques.
+"""
+
+import gradio as gr
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+import re
+import random
+import os
+
+# StealthWriter-style post-processor
+class StealthPostProcessor:
+    """Post-process text using StealthWriter's proven approach."""
+    
+    CONTRACTION_EXPANSIONS = {
+        "it's": "it is", "It's": "It is", "don't": "do not", "Don't": "Do not",
+        "doesn't": "does not", "Doesn't": "Does not", "didn't": "did not",
+        "won't": "will not", "wouldn't": "would not", "couldn't": "could not",
+        "shouldn't": "should not", "can't": "cannot", "Can't": "Cannot",
+        "I'm": "I am", "I've": "I have", "I'll": "I will", "I'd": "I would",
+        "you're": "you are", "You're": "You are", "you've": "you have",
+        "we're": "we are", "We're": "We are", "we've": "we have",
+        "they're": "they are", "They're": "They are", "they've": "they have",
+        "that's": "that is", "That's": "That is", "there's": "there is",
+        "what's": "what is", "who's": "who is", "let's": "let us",
+        "isn't": "is not", "aren't": "are not", "wasn't": "was not",
+        "weren't": "were not", "haven't": "have not", "hasn't": "has not",
+        "hadn't": "had not", "here's": "here is", "he's": "he is",
+        "she's": "she is", "we'll": "we will", "they'll": "they will",
+        "gotta": "got to", "gonna": "going to", "wanna": "want to",
+        "kinda": "kind of", "sorta": "sort of",
+    }
+    
+    EMPHATIC_PHRASES = [", I tell you", ", I must say", ", mind you", ", you see", ", indeed"]
+    
+    FORMAL_STARTERS = [
+        "It is almost a given that ", "One must acknowledge that ",
+        "It goes without saying that ", "It is worth noting that ",
+        "As it happens, ", "As a matter of fact, ", "In point of fact, ",
+    ]
+    
+    SYNONYM_REPLACEMENTS = {
+        "furry friend": "hairy companion", "pet": "animal companion",
+        "dog": "canine", "cat": "feline", "help": "assist", "use": "utilize",
+        "get": "obtain", "make": "create", "good": "favorable", "bad": "unfavorable",
+        "big": "substantial", "small": "modest", "very": "quite", "really": "truly",
+        "important": "significant", "need": "require", "want": "desire",
+        "think": "believe", "know": "understand", "see": "observe",
+        "find": "discover", "show": "demonstrate", "give": "provide",
+        "start": "commence", "begin": "initiate", "end": "conclude",
+        "try": "attempt", "keep": "maintain", "lot of": "numerous",
+        "a lot": "considerably", "lots of": "a great many",
+    }
+    
+    FILLERS_TO_REMOVE = [
+        "like, ", ", like,", " like ", "you know, ", ", you know,",
+        "basically, ", ", basically,", "honestly, ", "Honestly, ",
+        "I mean, ", ", I mean,", "pretty much ", "kind of ", "sort of ",
+        "actually, ", ", actually,", "literally ", "just ", "really ",
+        "so, ", "So, ", "well, ", "Well, ", "anyway, ", "Anyway, ",
+        "right? ", "Right? ", "you know? ", "I guess ", "I gotta say, ",
+    ]
+    
+    def __init__(self, intensity="high"):
+        self.change_probability = {"low": 0.3, "medium": 0.5, "high": 0.7}.get(intensity, 0.7)
+    
+    def expand_contractions(self, text):
+        for contraction, expansion in self.CONTRACTION_EXPANSIONS.items():
+            pattern = re.compile(r'\b' + re.escape(contraction) + r'\b')
+            text = pattern.sub(expansion, text)
+        return text
+    
+    def remove_casual_fillers(self, text):
+        for filler in self.FILLERS_TO_REMOVE:
+            text = text.replace(filler, " " if filler.startswith(" ") or filler.endswith(" ") else "")
+        return re.sub(r'\s+', ' ', text).strip()
+    
+    def apply_synonym_replacements(self, text):
+        for common, formal in self.SYNONYM_REPLACEMENTS.items():
+            if random.random() < self.change_probability:
+                pattern = re.compile(r'\b' + re.escape(common) + r'\b', re.IGNORECASE)
+                def replace_preserve_case(match):
+                    word = match.group(0)
+                    if word.isupper(): return formal.upper()
+                    elif word[0].isupper(): return formal.capitalize()
+                    return formal
+                text = pattern.sub(replace_preserve_case, text)
+        return text
+    
+    def add_emphatic_phrases(self, text):
+        sentences = re.split(r'(?<=[.!])\s+', text)
+        result = []
+        for sentence in sentences:
+            if sentence.endswith('.') and random.random() < self.change_probability * 0.4:
+                phrase = random.choice(self.EMPHATIC_PHRASES)
+                sentence = sentence[:-1] + phrase + "."
+            result.append(sentence)
+        return ' '.join(result)
+    
+    def add_formal_starters(self, text):
+        sentences = re.split(r'(?<=[.!?])\s+', text)
+        result = []
+        for i, sentence in enumerate(sentences):
+            if 0 < i < len(sentences) - 1 and random.random() < self.change_probability * 0.3:
+                starter = random.choice(self.FORMAL_STARTERS)
+                if sentence and sentence[0].isupper():
+                    sentence = starter + sentence[0].lower() + sentence[1:]
+                else:
+                    sentence = starter + sentence
+            result.append(sentence)
+        return ' '.join(result)
+    
+    def process(self, text):
+        text = self.expand_contractions(text)
+        text = self.remove_casual_fillers(text)
+        text = self.apply_synonym_replacements(text)
+        text = self.add_emphatic_phrases(text)
+        text = self.add_formal_starters(text)
+        return re.sub(r'\s+', ' ', text).strip()
+    
+    def multi_pass_process(self, text, passes=2):
+        for _ in range(passes):
+            text = self.process(text)
+        return text
+
+
+# Load model and tokenizer
+print("Loading adversarial fine-tuned model...")
+MODEL_PATH = "adversarial_model"
+tokenizer = T5Tokenizer.from_pretrained(MODEL_PATH)
+model = T5ForConditionalGeneration.from_pretrained(MODEL_PATH)
+print("Model loaded!")
+
+# Initialize post-processor
+processor = StealthPostProcessor(intensity="high")
+
+
+def humanize_text(text, use_post_processor=True, post_processor_passes=2):
+    """Combined humanizer: adversarial model + StealthWriter post-processor"""
+    if not text.strip():
+        return "", ""
+    
+    # Step 1: Run through adversarial fine-tuned model
+    inputs = tokenizer(f"humanize: {text}", return_tensors="pt", max_length=512, truncation=True)
+    outputs = model.generate(
+        **inputs,
+        max_length=512,
+        num_beams=4,
+        early_stopping=True,
+        do_sample=False
+    )
+    model_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    # Step 2: Apply StealthWriter post-processor
+    if use_post_processor:
+        final_output = processor.multi_pass_process(model_output, passes=post_processor_passes)
+    else:
+        final_output = model_output
+    
+    return model_output, final_output
+
+
+def gradio_humanize(text, use_post_processor, passes):
+    """Gradio interface function"""
+    model_out, final_out = humanize_text(text, use_post_processor, int(passes))
+    return model_out, final_out
+
+
+# Create Gradio interface
+with gr.Blocks(title="Humanizer V2 - AI Detector Bypass") as demo:
+    gr.Markdown("""
+    # 🔄 Humanizer V2 - AI Detector Bypass
+    
+    **Combined approach:** Adversarial fine-tuned T5 model + StealthWriter-style post-processor
+    
+    This humanizer uses techniques proven to bypass AI detectors:
+    - Trained on 532 adversarial samples that successfully bypassed Originality API
+    - StealthWriter-style post-processing (expands contractions, uses formal expressions)
+    - Multi-pass processing for better results
+    """)
+    
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(
+                label="Input Text (AI-generated)",
+                placeholder="Paste your AI-generated text here...",
+                lines=8
+            )
+            
+            with gr.Row():
+                use_post_processor = gr.Checkbox(label="Use StealthWriter Post-Processor", value=True)
+                passes = gr.Slider(minimum=1, maximum=3, value=2, step=1, label="Post-Processor Passes")
+            
+            submit_btn = gr.Button("Humanize", variant="primary")
+        
+        with gr.Column():
+            model_output = gr.Textbox(label="Model Output (before post-processing)", lines=6)
+            final_output = gr.Textbox(label="Final Output (after post-processing)", lines=6)
+    
+    submit_btn.click(
+        fn=gradio_humanize,
+        inputs=[input_text, use_post_processor, passes],
+        outputs=[model_output, final_output]
+    )
+    
+    gr.Markdown("""
+    ---
+    **Tips for best results:**
+    - Enable the StealthWriter post-processor for better bypass rates
+    - Use 2-3 passes for optimal results
+    - Test the output on StealthWriter or other AI detectors
+    """)
+
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,4 @@
+transformers>=4.36.0
+torch>=2.0.0
+gradio>=4.0.0
+sentencepiece