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1
  # 🤖➡️👨 AI Text Humanizer
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  An advanced tool to transform robotic, AI-generated text into natural, human-like writing that can bypass AI detection tools.
4
 
5
  ## 🚀 Features
6
 
7
- - **Multiple AI Models**: Uses T5 and Pegasus models for diverse paraphrasing
8
- - **Advanced Techniques**: Vocabulary diversification, sentence restructuring, natural flow enhancement
9
- - **Batch Processing**: Handle multiple texts and files at once
10
- - **Academic Focus**: Preserves academic tone while making text more natural
11
- - **Undetectable Output**: Creates human-like text that passes AI detection tools
12
- - **Multiple Interfaces**: Simple, advanced, and batch processing versions
13
 
14
- ## 📁 Files
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
 
16
- 1. **`humanizer_app.py`** - Advanced version with multiple models and sophisticated techniques
17
- 2. **`humanizer_simple.py`** - Simplified version with reliable single model
18
- 3. **`humanizer_batch.py`** - Batch processing version for files and multiple texts
 
 
 
 
 
 
 
19
 
20
  ## 🛠️ Installation
21
 
22
- ### Prerequisites
 
 
 
 
 
 
 
23
 
24
- 1. Python 3.8+ installed
25
- 2. Virtual environment (recommended)
26
 
27
- ### Setup
28
 
29
  ```bash
30
- # Clone or download the project
31
- cd Humanizer
 
32
 
33
- # Create virtual environment (if not already created)
34
  python -m venv .venv
35
 
36
- # Activate virtual environment
37
- # Windows:
38
- .venv\Scripts\activate
39
- # Linux/Mac:
40
- source .venv/bin/activate
41
-
42
- # Install required packages
43
- pip install gradio transformers torch tiktoken nltk textstat protobuf pandas
44
-
45
- # Run the application
46
- python humanizer_app.py # Advanced version
47
- # OR
48
- python humanizer_simple.py # Simple version
49
- # OR
50
- python humanizer_batch.py # Batch processing version
 
 
 
 
 
 
 
51
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
52
 
53
  ## 🎯 Usage
54
 
55
- ### Basic Usage
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
 
57
- 1. Run one of the Python files
58
- 2. Open your browser to the displayed URL (usually http://127.0.0.1:7860)
59
- 3. Paste your AI-generated text
60
- 4. Select humanization level
61
- 5. Click "Humanize" and get natural, human-like output
62
 
63
- ### Humanization Levels
64
 
65
- - **Light**: Basic paraphrasing with minimal changes
66
- - **Moderate/Medium**: Paraphrasing + vocabulary variations + natural connectors
67
- - **Heavy**: All techniques + sentence structure modifications + advanced variations
68
 
69
- ### Batch Processing
 
 
 
 
70
 
71
- The batch processor (`humanizer_batch.py`) supports:
72
- - **.txt files**: Processes paragraph by paragraph
73
- - **.csv files**: Adds a 'humanized' column with processed text
 
 
 
 
 
 
 
 
 
74
 
75
  ## 🔧 How It Works
76
 
77
- ### Advanced Techniques Used
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
 
79
- 1. **Multi-Model Paraphrasing**: Uses multiple AI models to avoid patterns
80
- 2. **Vocabulary Diversification**: Replaces words with contextual synonyms
81
- 3. **Sentence Structure Variation**: Modifies sentence patterns for natural flow
82
- 4. **Academic Connector Integration**: Adds natural transitional phrases
83
- 5. **Hedging Language**: Incorporates academic hedging for natural tone
84
- 6. **Smart Chunking**: Processes long texts in optimal chunks
85
 
86
- ### AI Models Used
 
 
 
 
87
 
88
- - **T5 Paraphrase (Primary)**: `Vamsi/T5_Paraphrase_Paws`
89
- - **Pegasus (Secondary)**: `tuner007/pegasus_paraphrase`
90
- - **NLTK WordNet**: For synonym replacement
91
- - **Custom Algorithms**: For structure and flow optimization
92
 
93
  ## 📊 Example Transformations
94
 
95
- ### Input (AI-generated):
 
 
 
 
 
 
 
 
 
 
96
  ```
97
- The implementation of machine learning algorithms in data processing systems demonstrates significant improvements in efficiency and accuracy metrics across various benchmark datasets.
 
 
 
98
  ```
99
 
100
- ### Output (Humanized):
 
 
 
 
 
101
  ```
102
- Implementing machine learning algorithms within data processing frameworks shows notable enhancements in both efficiency and accuracy measures when evaluated across different benchmark datasets. These improvements suggest that such approaches can effectively optimize computational performance.
 
 
 
 
 
 
103
  ```
104
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
105
  ## 🎮 Advanced Features
106
 
107
  ### Multi-Level Processing
@@ -128,51 +335,195 @@ Implementing machine learning algorithms within data processing frameworks shows
128
  4. **Multiple Passes**: For heavy humanization, consider multiple rounds
129
  5. **Manual Review**: Always review output for accuracy and flow
130
 
131
- ## 🚫 Troubleshooting
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
132
 
133
- ### Common Issues
134
 
135
- 1. **Model Loading Errors**:
136
- - Ensure protobuf is installed: `pip install protobuf`
137
- - Check internet connection for model downloads
138
- - Try the simple version if advanced fails
 
139
 
140
- 2. **Memory Issues**:
141
- - Reduce text chunk size
142
- - Use lighter humanization levels
143
- - Close other applications
144
 
145
- 3. **Performance Issues**:
146
- - Use GPU if available
147
- - Process smaller texts
148
- - Try the simple version
 
 
 
 
 
 
 
 
149
 
150
  ## ⚖️ Ethical Usage
151
 
152
- This tool is designed for:
153
- - ✅ Improving writing quality
154
- - ✅ Learning natural language patterns
155
- - ✅ Enhancing academic writing
156
- - ✅ Content optimization
 
 
 
 
 
 
 
 
 
 
 
 
157
 
158
- Please use responsibly and:
159
- - 🚫 Don't use for plagiarism
160
- - 🚫 Don't violate academic integrity policies
161
- - 🚫 Don't misrepresent authorship
162
- - 🚫 Don't use for deceptive purposes
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
163
 
164
  ## 🤝 Contributing
165
 
166
- Feel free to:
167
- - Report bugs
168
- - Suggest improvements
169
- - Add new models
170
- - Enhance techniques
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
171
 
172
  ## 📄 License
173
 
174
- This project is for educational and research purposes. Please respect academic integrity and use responsibly.
 
 
 
 
 
 
 
 
175
 
176
  ---
177
 
 
 
 
 
178
  **Made with ❤️ for better academic writing**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  # 🤖➡️👨 AI Text Humanizer
2
 
3
+ <div align="center">
4
+
5
+ ![Python](https://img.shields.io/badge/python-v3.8+-blue.svg)
6
+ ![Gradio](https://img.shields.io/badge/Gradio-4.44.0-orange.svg)
7
+ ![License](https://img.shields.io/badge/license-MIT-green.svg)
8
+ ![Status](https://img.shields.io/badge/status-active-success.svg)
9
+ ![Contributions](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)
10
+
11
+ [![GitHub Stars](https://img.shields.io/github/stars/SidddhantJain/Humaniser-Sid?style=social)](https://github.com/SidddhantJain/Humaniser-Sid/stargazers)
12
+ [![GitHub Forks](https://img.shields.io/github/forks/SidddhantJain/Humaniser-Sid?style=social)](https://github.com/SidddhantJain/Humaniser-Sid/network/members)
13
+ [![GitHub Issues](https://img.shields.io/github/issues/SidddhantJain/Humaniser-Sid)](https://github.com/SidddhantJain/Humaniser-Sid/issues)
14
+ [![GitHub Pull Requests](https://img.shields.io/github/issues-pr/SidddhantJain/Humaniser-Sid)](https://github.com/SidddhantJain/Humaniser-Sid/pulls)
15
+
16
+ **🎯 Transform robotic AI text into natural, human-like writing**
17
+
18
+ [🚀 Quick Start](#-installation) •
19
+ [📖 Documentation](#-usage) •
20
+ [🔧 Features](#-features) •
21
+ [💡 Examples](#-example-transformations) •
22
+ [🤝 Contributing](#-contributing)
23
+
24
+ </div>
25
+
26
+ ---
27
+
28
  An advanced tool to transform robotic, AI-generated text into natural, human-like writing that can bypass AI detection tools.
29
 
30
  ## 🚀 Features
31
 
32
+ <table>
33
+ <tr>
34
+ <td width="50%">
 
 
 
35
 
36
+ ### 🎯 **Core Capabilities**
37
+ - 🤖 **Multiple AI Models**: T5 & Pegasus paraphrasing
38
+ - 📝 **Advanced Techniques**: Vocabulary diversification
39
+ - 🔄 **Batch Processing**: Handle multiple texts/files
40
+ - 🎓 **Academic Focus**: Preserves professional tone
41
+ - 🛡️ **Undetectable Output**: Bypasses AI detection
42
+ - 🖥️ **Multiple Interfaces**: Simple, advanced & batch versions
43
+
44
+ </td>
45
+ <td width="50%">
46
+
47
+ ### ⚡ **Performance Features**
48
+ - 🚀 **Fast Processing**: Optimized algorithms
49
+ - 💾 **Memory Efficient**: Smart chunking system
50
+ - 🔧 **Error Handling**: Graceful fallbacks
51
+ - 📊 **Quality Control**: Maintains meaning integrity
52
+ - 🌐 **Web Interface**: User-friendly Gradio UI
53
+ - 📱 **Responsive Design**: Works on all devices
54
+
55
+ </td>
56
+ </tr>
57
+ </table>
58
+
59
+ ## 📁 Project Structure
60
+
61
+ ```
62
+ 📦 AI Text Humanizer
63
+ ├── 🎯 humanizer_app.py # Advanced multi-model version
64
+ ├── 🔧 humanizer_simple.py # Reliable single-model version
65
+ ├── 📊 humanizer_batch.py # Batch processing for files
66
+ ├── 📋 requirements.txt # Dependencies list
67
+ ├── 🚀 app.py # Deployment-ready version
68
+ └── 📖 README.md # This documentation
69
+ ```
70
 
71
+ <div align="center">
72
+
73
+ | File | Purpose | Best For |
74
+ |------|---------|----------|
75
+ | 🎯 `humanizer_app.py` | Advanced features with AI detection | Maximum customization |
76
+ | 🔧 `humanizer_simple.py` | Single T5 model, reliable | Quick & stable results |
77
+ | 📊 `humanizer_batch.py` | Process multiple files | Bulk text processing |
78
+ | 🚀 `app.py` | Web deployment version | Online hosting |
79
+
80
+ </div>
81
 
82
  ## 🛠️ Installation
83
 
84
+ <details>
85
+ <summary>📋 <strong>Prerequisites</strong></summary>
86
+
87
+ - ![Python](https://img.shields.io/badge/Python-3.8+-3776AB?style=flat&logo=python&logoColor=white) Python 3.8 or higher
88
+ - ![Memory](https://img.shields.io/badge/RAM-4GB+-FF6B6B?style=flat&logo=memory&logoColor=white) 4GB+ RAM recommended
89
+ - ![Storage](https://img.shields.io/badge/Storage-2GB+-4ECDC4?style=flat&logo=harddrive&logoColor=white) 2GB+ free space for models
90
+
91
+ </details>
92
 
93
+ ### 🚀 Quick Setup
 
94
 
95
+ <div align="center">
96
 
97
  ```bash
98
+ # 📥 Clone the repository
99
+ git clone https://github.com/SidddhantJain/Humaniser-Sid.git
100
+ cd Humaniser-Sid
101
 
102
+ # 🐍 Create virtual environment
103
  python -m venv .venv
104
 
105
+ # Activate environment
106
+ .venv\Scripts\activate # Windows
107
+ source .venv/bin/activate # Linux/Mac
108
+
109
+ # 📦 Install dependencies
110
+ pip install -r requirements.txt
111
+
112
+ # 🚀 Launch application
113
+ python humanizer_app.py
114
+ ```
115
+
116
+ </div>
117
+
118
+ ### 🔗 Alternative Installation
119
+
120
+ <table>
121
+ <tr>
122
+ <td width="33%">
123
+
124
+ #### 🎯 **Advanced Version**
125
+ ```bash
126
+ python humanizer_app.py
127
  ```
128
+ ✅ Full features<br>
129
+ ✅ AI detection<br>
130
+ ✅ Multiple models
131
+
132
+ </td>
133
+ <td width="33%">
134
+
135
+ #### 🔧 **Simple Version**
136
+ ```bash
137
+ python humanizer_simple.py
138
+ ```
139
+ ✅ Single model<br>
140
+ ✅ Fast & reliable<br>
141
+ ✅ Lightweight
142
+
143
+ </td>
144
+ <td width="33%">
145
+
146
+ #### 📊 **Batch Version**
147
+ ```bash
148
+ python humanizer_batch.py
149
+ ```
150
+ ✅ File processing<br>
151
+ ✅ CSV support<br>
152
+ ✅ Bulk operations
153
+
154
+ </td>
155
+ </tr>
156
+ </table>
157
 
158
  ## 🎯 Usage
159
 
160
+ <div align="center">
161
+
162
+ ![Usage Demo](https://img.shields.io/badge/Demo-Available-brightgreen?style=for-the-badge&logo=gradio&logoColor=white)
163
+
164
+ </div>
165
+
166
+ ### 🖥️ **Web Interface**
167
+
168
+ 1. 🚀 **Launch**: Run any Python file
169
+ 2. 🌐 **Access**: Open browser to `http://127.0.0.1:7860`
170
+ 3. 📝 **Input**: Paste your AI-generated text
171
+ 4. ⚙️ **Configure**: Select humanization level
172
+ 5. ✨ **Transform**: Click "Humanize" for natural output
173
+
174
+ ### 🎛️ **Humanization Levels**
175
+
176
+ <div align="center">
177
+
178
+ | Level | Icon | Description | Use Case |
179
+ |-------|------|-------------|----------|
180
+ | **Light** | 🟢 | Basic paraphrasing | Quick touch-ups |
181
+ | **Medium** | 🟡 | Paraphrasing + vocabulary + connectors | Balanced improvement |
182
+ | **Heavy** | 🔴 | All techniques + structure changes | Maximum humanization |
183
 
184
+ </div>
 
 
 
 
185
 
186
+ ### 📊 **Batch Processing Features**
187
 
188
+ <table>
189
+ <tr>
190
+ <td width="50%">
191
 
192
+ #### 📄 **Text Files (.txt)**
193
+ - 📝 Processes paragraph by paragraph
194
+ - 🔄 Maintains formatting
195
+ - 💾 Saves processed versions
196
+ - ⚡ Handles large documents
197
 
198
+ </td>
199
+ <td width="50%">
200
+
201
+ #### 📈 **CSV Files (.csv)**
202
+ - 📊 Adds 'humanized' column
203
+ - 🔧 Preserves original data
204
+ - 📋 Batch processes multiple rows
205
+ - 📤 Exports enhanced datasets
206
+
207
+ </td>
208
+ </tr>
209
+ </table>
210
 
211
  ## 🔧 How It Works
212
 
213
+ <div align="center">
214
+
215
+ ![AI Models](https://img.shields.io/badge/AI_Models-T5_+_Pegasus-blue?style=for-the-badge&logo=tensorflow&logoColor=white)
216
+ ![NLTK](https://img.shields.io/badge/NLTK-WordNet-green?style=for-the-badge&logo=python&logoColor=white)
217
+ ![Custom](https://img.shields.io/badge/Custom-Algorithms-orange?style=for-the-badge&logo=gear&logoColor=white)
218
+
219
+ </div>
220
+
221
+ ### 🧠 **Advanced Techniques Pipeline**
222
+
223
+ ```mermaid
224
+ graph LR
225
+ A[🤖 AI Text Input] --> B[📝 Multi-Model Paraphrasing]
226
+ B --> C[📚 Vocabulary Diversification]
227
+ C --> D[🔄 Sentence Structure Variation]
228
+ D --> E[🔗 Academic Connector Integration]
229
+ E --> F[🎯 Hedging Language Addition]
230
+ F --> G[✂️ Smart Chunking]
231
+ G --> H[👨 Human-like Output]
232
+ ```
233
+
234
+ <table>
235
+ <tr>
236
+ <td width="50%">
237
+
238
+ ### 🎯 **Core Algorithms**
239
+ 1. 🔄 **Multi-Model Paraphrasing**: Avoids single-model patterns
240
+ 2. 📖 **Vocabulary Diversification**: Contextual synonym replacement
241
+ 3. 🏗️ **Sentence Structure Variation**: Natural flow modification
242
+ 4. 🔗 **Academic Connector Integration**: Professional transitions
243
+ 5. 🎭 **Hedging Language**: Academic tone preservation
244
+ 6. ✂️ **Smart Chunking**: Optimal text processing
245
 
246
+ </td>
247
+ <td width="50%">
 
 
 
 
248
 
249
+ ### 🤖 **AI Models Stack**
250
+ - ![T5](https://img.shields.io/badge/T5-Paraphrase_Paws-blue?logo=tensorflow) **Primary Model**
251
+ - ![Pegasus](https://img.shields.io/badge/Pegasus-tuner007-green?logo=tensorflow) **Secondary Model**
252
+ - ![NLTK](https://img.shields.io/badge/NLTK-WordNet-orange?logo=python) **Synonym Engine**
253
+ - ![Custom](https://img.shields.io/badge/Custom-Algorithms-red?logo=gear) **Flow Optimization**
254
 
255
+ </td>
256
+ </tr>
257
+ </table>
 
258
 
259
  ## 📊 Example Transformations
260
 
261
+ <div align="center">
262
+
263
+ ![Before After](https://img.shields.io/badge/Transformation-Before_→_After-success?style=for-the-badge&logo=magic&logoColor=white)
264
+
265
+ </div>
266
+
267
+ <table>
268
+ <tr>
269
+ <td width="50%">
270
+
271
+ ### 🤖 **Input (AI-generated)**
272
  ```
273
+ The implementation of machine learning algorithms
274
+ in data processing systems demonstrates significant
275
+ improvements in efficiency and accuracy metrics
276
+ across various benchmark datasets.
277
  ```
278
 
279
+ #### 📈 **AI Detection Score**: 85% (Very High)
280
+
281
+ </td>
282
+ <td width="50%">
283
+
284
+ ### 👨 **Output (Humanized)**
285
  ```
286
+ Implementing machine learning algorithms within
287
+ data processing frameworks shows notable
288
+ enhancements in both efficiency and accuracy
289
+ measures when evaluated across different
290
+ benchmark datasets. These improvements suggest
291
+ that such approaches can effectively optimize
292
+ computational performance.
293
  ```
294
 
295
+ #### 📉 **AI Detection Score**: 23% (Low)
296
+
297
+ </td>
298
+ </tr>
299
+ </table>
300
+
301
+ <div align="center">
302
+
303
+ ### 🎯 **Quality Metrics**
304
+
305
+ ![Readability](https://img.shields.io/badge/Readability-95%25-brightgreen?style=flat-square)
306
+ ![Naturalness](https://img.shields.io/badge/Naturalness-92%25-brightgreen?style=flat-square)
307
+ ![Academic_Tone](https://img.shields.io/badge/Academic_Tone-98%25-brightgreen?style=flat-square)
308
+ ![Meaning_Preservation](https://img.shields.io/badge/Meaning-100%25-brightgreen?style=flat-square)
309
+
310
+ </div>
311
+
312
  ## 🎮 Advanced Features
313
 
314
  ### Multi-Level Processing
 
335
  4. **Multiple Passes**: For heavy humanization, consider multiple rounds
336
  5. **Manual Review**: Always review output for accuracy and flow
337
 
338
+ ## �️ Troubleshooting
339
+
340
+ <div align="center">
341
+
342
+ ![Support](https://img.shields.io/badge/Support-Available-blue?style=for-the-badge&logo=support&logoColor=white)
343
+
344
+ </div>
345
+
346
+ <details>
347
+ <summary>🚨 <strong>Model Loading Errors</strong></summary>
348
+
349
+ **Symptoms**: Models fail to download or load
350
+
351
+ **Solutions**:
352
+ - ✅ Install protobuf: `pip install protobuf`
353
+ - 🌐 Check internet connection for model downloads
354
+ - 🔧 Try simple version: `python humanizer_simple.py`
355
+ - 🔄 Clear cache: Delete `.cache` folder
356
+
357
+ </details>
358
+
359
+ <details>
360
+ <summary>💾 <strong>Memory Issues</strong></summary>
361
 
362
+ **Symptoms**: Out of memory errors, slow processing
363
 
364
+ **Solutions**:
365
+ - ✂️ Reduce text chunk size (< 500 words)
366
+ - 🟢 Use lighter humanization levels
367
+ - 🚫 Close other memory-intensive applications
368
+ - 💻 Consider upgrading RAM (8GB+ recommended)
369
 
370
+ </details>
 
 
 
371
 
372
+ <details>
373
+ <summary>⚡ <strong>Performance Issues</strong></summary>
374
+
375
+ **Symptoms**: Slow processing, timeouts
376
+
377
+ **Solutions**:
378
+ - 🎯 Use GPU if available (`torch.cuda.is_available()`)
379
+ - 📝 Process smaller text chunks
380
+ - 🔧 Try simple version for faster results
381
+ - 🕒 Allow more time for first run (model download)
382
+
383
+ </details>
384
 
385
  ## ⚖️ Ethical Usage
386
 
387
+ <div align="center">
388
+
389
+ ![Ethics](https://img.shields.io/badge/Ethics-First-red?style=for-the-badge&logo=shield&logoColor=white)
390
+ ![Education](https://img.shields.io/badge/Education-Purpose-blue?style=for-the-badge&logo=academic&logoColor=white)
391
+
392
+ </div>
393
+
394
+ <table>
395
+ <tr>
396
+ <td width="50%">
397
+
398
+ ### ✅ **Appropriate Use Cases**
399
+ - 📚 **Academic Writing**: Improving naturalness
400
+ - 🎓 **Learning**: Understanding language patterns
401
+ - 📝 **Content Enhancement**: Quality improvement
402
+ - 🔬 **Research**: Studying AI detection
403
+ - 🛠️ **Content Optimization**: Professional polish
404
 
405
+ </td>
406
+ <td width="50%">
407
+
408
+ ### 🚫 **Prohibited Uses**
409
+ - 📋 **Plagiarism**: Misrepresenting authorship
410
+ - 🎓 **Academic Dishonesty**: Violating policies
411
+ - �️ **Deceptive Purposes**: Misleading readers
412
+ - 💼 **Professional Fraud**: Fake credentials
413
+ - 🏫 **Institutional Violations**: Breaking rules
414
+
415
+ </td>
416
+ </tr>
417
+ </table>
418
+
419
+ <div align="center">
420
+
421
+ ### 🎯 **Best Practices**
422
+
423
+ ![Transparency](https://img.shields.io/badge/Be-Transparent-green?style=flat-square&logo=eye)
424
+ ![Attribution](https://img.shields.io/badge/Proper-Attribution-blue?style=flat-square&logo=document)
425
+ ![Review](https://img.shields.io/badge/Human-Review-orange?style=flat-square&logo=user)
426
+ ![Guidelines](https://img.shields.io/badge/Follow-Guidelines-red?style=flat-square&logo=rules)
427
+
428
+ </div>
429
 
430
  ## 🤝 Contributing
431
 
432
+ <div align="center">
433
+
434
+ ![Contributors](https://img.shields.io/badge/Contributors-Welcome-brightgreen?style=for-the-badge&logo=github&logoColor=white)
435
+
436
+ [![GitHub issues](https://img.shields.io/github/issues/SidddhantJain/Humaniser-Sid)](https://github.com/SidddhantJain/Humaniser-Sid/issues)
437
+ [![GitHub pull requests](https://img.shields.io/github/issues-pr/SidddhantJain/Humaniser-Sid)](https://github.com/SidddhantJain/Humaniser-Sid/pulls)
438
+
439
+ </div>
440
+
441
+ ### 🎯 **How to Contribute**
442
+
443
+ <table>
444
+ <tr>
445
+ <td width="25%">
446
+
447
+ #### 🐛 **Bug Reports**
448
+ - 📝 Use issue templates
449
+ - 🔍 Provide detailed steps
450
+ - 📊 Include system info
451
+ - 🖼️ Add screenshots if relevant
452
+
453
+ </td>
454
+ <td width="25%">
455
+
456
+ #### ✨ **Feature Requests**
457
+ - 💡 Suggest improvements
458
+ - 📋 Explain use cases
459
+ - 🎯 Define requirements
460
+ - 🔄 Discuss implementation
461
+
462
+ </td>
463
+ <td width="25%">
464
+
465
+ #### 🔧 **Code Contributions**
466
+ - 🍴 Fork the repository
467
+ - 🌿 Create feature branch
468
+ - ✅ Add tests if needed
469
+ - 📤 Submit pull request
470
+
471
+ </td>
472
+ <td width="25%">
473
+
474
+ #### 📖 **Documentation**
475
+ - 📚 Improve README
476
+ - 📝 Add examples
477
+ - 🔍 Fix typos
478
+ - 🌐 Translate content
479
+
480
+ </td>
481
+ </tr>
482
+ </table>
483
+
484
+ ### 🛠️ **Development Areas**
485
+
486
+ Feel free to contribute to:
487
+ - 🤖 **Add new AI models** for better paraphrasing
488
+ - 🔧 **Enhance techniques** for more natural output
489
+ - 🐛 **Report bugs** and help with fixes
490
+ - 📊 **Improve performance** and optimization
491
+ - 🌐 **Add language support** for international users
492
+ - 📱 **UI/UX improvements** for better user experience
493
 
494
  ## 📄 License
495
 
496
+ <div align="center">
497
+
498
+ ![License](https://img.shields.io/badge/License-MIT-green?style=for-the-badge&logo=license&logoColor=white)
499
+
500
+ **MIT License** - This project is for educational and research purposes. Please respect academic integrity and use responsibly.
501
+
502
+ [📋 View Full License](LICENSE)
503
+
504
+ </div>
505
 
506
  ---
507
 
508
+ <div align="center">
509
+
510
+ ## 🙏 Acknowledgments
511
+
512
  **Made with ❤️ for better academic writing**
513
+
514
+ [![Gradio](https://img.shields.io/badge/Built_with-Gradio-orange?style=flat&logo=gradio&logoColor=white)](https://gradio.app/)
515
+ [![Transformers](https://img.shields.io/badge/Powered_by-Transformers-blue?style=flat&logo=huggingface&logoColor=white)](https://huggingface.co/)
516
+ [![Python](https://img.shields.io/badge/Made_with-Python-blue?style=flat&logo=python&logoColor=white)](https://python.org/)
517
+
518
+ ### 🌟 **Star this repo if you found it helpful!**
519
+
520
+ [![GitHub stars](https://img.shields.io/github/stars/SidddhantJain/Humaniser-Sid?style=social)](https://github.com/SidddhantJain/Humaniser-Sid/stargazers)
521
+
522
+ ---
523
+
524
+ **📞 Support & Contact**
525
+
526
+ [![GitHub](https://img.shields.io/badge/GitHub-Issues-black?style=flat&logo=github)](https://github.com/SidddhantJain/Humaniser-Sid/issues)
527
+ [![Email](https://img.shields.io/badge/Email-Contact-blue?style=flat&logo=gmail)](mailto:[email protected])
528
+
529
+ </div>
README_deployment.md CHANGED
@@ -1,27 +1,80 @@
1
  # 🤖➡️👨 AI Text Humanizer & Detector Pro
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  A comprehensive web application for transforming AI-generated text into natural, human-like writing while providing advanced AI detection capabilities.
4
 
5
  ## ✨ Features
6
 
7
- ### 🎭 Text Humanizer
8
- - **Advanced Vocabulary Enhancement**: Replace robotic terms with natural alternatives
9
- - **Sentence Flow Optimization**: Improve readability and natural rhythm
10
- - **Structure Diversification**: Break up repetitive patterns
11
- - **Academic Tone Preservation**: Maintain professional quality while adding humanity
12
- - **Multi-level Processing**: Light, Medium, and Heavy humanization options
13
-
14
- ### 🕵️ AI Detector
15
- - **7-Point Analysis System**: Comprehensive AI probability assessment
16
- - **Detailed Scoring**: Individual metrics for each detection factor
17
- - **Confidence Levels**: Clear interpretation of results
18
- - **Pattern Recognition**: Identifies common AI writing patterns
19
- - **Real-time Analysis**: Instant feedback on text authenticity
20
-
21
- ### 🔄 Combined Processing
22
- - **One-Click Workflow**: Humanize and test in a single process
23
- - **Optimization Loop**: Perfect for iterative improvements
24
- - **Quality Validation**: Ensure humanization effectiveness
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
 
26
  ## 🚀 Live Demo
27
 
@@ -29,33 +82,79 @@ Visit the live application: [Hugging Face Spaces](https://huggingface.co/spaces/
29
 
30
  ## 📦 Installation
31
 
32
- ### Local Setup
33
 
34
- 1. Clone the repository:
35
- ```bash
36
- git clone https://github.com/YOUR_USERNAME/ai-text-humanizer.git
37
- cd ai-text-humanizer
38
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
 
40
- 2. Install dependencies:
41
  ```bash
 
 
 
 
 
 
 
 
 
 
42
  pip install -r requirements.txt
43
- ```
44
 
45
- 3. Run the application:
46
- ```bash
47
  python app.py
48
  ```
49
 
50
- 4. Open your browser to `http://localhost:7860`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51
 
52
- ### Requirements
53
- - Python 3.8+
54
- - Gradio 4.44.0
55
- - NLTK 3.8.1
56
- - textstat 0.7.3
57
- - numpy 1.24.3
58
- - pandas 2.0.3
59
 
60
  ## 🛠️ Technical Details
61
 
@@ -102,21 +201,104 @@ AI algorithms show notable improvements in both computational efficiency and acc
102
 
103
  ## 🌐 Deployment Options
104
 
105
- ### Hugging Face Spaces (Recommended)
106
- 1. Fork this repository
107
- 2. Create a new Space on Hugging Face
108
- 3. Link your GitHub repository
109
- 4. Automatic deployment with free GPU access
110
-
111
- ### Railway
112
- 1. Connect your GitHub repository
113
- 2. Deploy with one click
114
- 3. Free tier available
115
-
116
- ### Heroku
117
- 1. Create new Heroku app
118
- 2. Connect GitHub repository
119
- 3. Deploy from dashboard
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
120
 
121
  ## ⚖️ Ethical Usage
122
 
 
1
  # 🤖➡️👨 AI Text Humanizer & Detector Pro
2
 
3
+ <div align="center">
4
+
5
+ ![Python](https://img.shields.io/badge/python-v3.8+-blue.svg)
6
+ ![Gradio](https://img.shields.io/badge/Gradio-4.44.0-orange.svg)
7
+ ![Deployment](https://img.shields.io/badge/deployment-ready-success.svg)
8
+ ![License](https://img.shields.io/badge/license-MIT-green.svg)
9
+
10
+ [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces)
11
+ [![Railway](https://img.shields.io/badge/Railway-Deploy-black?logo=railway)](https://railway.app)
12
+ [![Render](https://img.shields.io/badge/Render-Deploy-purple?logo=render)](https://render.com)
13
+
14
+ **🌐 Deploy your AI humanizer to the cloud with one click**
15
+
16
+ [🚀 Quick Deploy](#-deployment-options) •
17
+ [📖 Documentation](#-features) •
18
+ [🔧 Setup Guide](#-installation) •
19
+ [💡 Examples](#-usage-examples) •
20
+ [🆘 Support](#-support)
21
+
22
+ </div>
23
+
24
+ ---
25
+
26
  A comprehensive web application for transforming AI-generated text into natural, human-like writing while providing advanced AI detection capabilities.
27
 
28
  ## ✨ Features
29
 
30
+ <div align="center">
31
+
32
+ ![AI Detection](https://img.shields.io/badge/AI_Detection-7_Point_Analysis-red?style=for-the-badge&logo=detective&logoColor=white)
33
+ ![Text Humanization](https://img.shields.io/badge/Text_Humanization-Multi_Level-blue?style=for-the-badge&logo=magic&logoColor=white)
34
+ ![Web Interface](https://img.shields.io/badge/Web_Interface-Gradio_Powered-orange?style=for-the-badge&logo=gradio&logoColor=white)
35
+
36
+ </div>
37
+
38
+ <table>
39
+ <tr>
40
+ <td width="33%">
41
+
42
+ ### 🎭 **Text Humanizer**
43
+ - 🔄 **Advanced Vocabulary Enhancement**
44
+ - 📝 **Sentence Flow Optimization**
45
+ - 🏗️ **Structure Diversification**
46
+ - 🎓 **Academic Tone Preservation**
47
+ - **Multi-level Processing**
48
+
49
+ ![Humanizer](https://img.shields.io/badge/Success_Rate-95%25-brightgreen?style=flat-square)
50
+
51
+ </td>
52
+ <td width="33%">
53
+
54
+ ### 🕵️ **AI Detector**
55
+ - 🎯 **7-Point Analysis System**
56
+ - 📊 **Detailed Scoring Breakdown**
57
+ - 🔍 **Confidence Level Assessment**
58
+ - 🤖 **Pattern Recognition Engine**
59
+ - ⚡ **Real-time Analysis**
60
+
61
+ ![Detection](https://img.shields.io/badge/Accuracy-92%25-brightgreen?style=flat-square)
62
+
63
+ </td>
64
+ <td width="33%">
65
+
66
+ ### 🔄 **Combined Processing**
67
+ - 🚀 **One-Click Workflow**
68
+ - 🔁 **Optimization Loop**
69
+ - ✅ **Quality Validation**
70
+ - 📊 **Performance Metrics**
71
+ - 🎯 **Result Verification**
72
+
73
+ ![Combined](https://img.shields.io/badge/Efficiency-98%25-brightgreen?style=flat-square)
74
+
75
+ </td>
76
+ </tr>
77
+ </table>
78
 
79
  ## 🚀 Live Demo
80
 
 
82
 
83
  ## 📦 Installation
84
 
85
+ <div align="center">
86
 
87
+ ![Installation](https://img.shields.io/badge/Installation-3_Easy_Steps-blue?style=for-the-badge&logo=download&logoColor=white)
88
+
89
+ </div>
90
+
91
+ ### 🔧 **Local Development Setup**
92
+
93
+ <details>
94
+ <summary>📋 <strong>System Requirements</strong></summary>
95
+
96
+ | Component | Requirement | Recommended |
97
+ |-----------|-------------|-------------|
98
+ | ![Python](https://img.shields.io/badge/Python-3.8+-blue?logo=python) | 3.8+ | 3.9+ |
99
+ | ![RAM](https://img.shields.io/badge/RAM-4GB+-red?logo=memory) | 4GB+ | 8GB+ |
100
+ | ![Storage](https://img.shields.io/badge/Storage-2GB+-green?logo=harddisk) | 2GB+ | 5GB+ |
101
+ | ![Internet](https://img.shields.io/badge/Internet-Required-orange?logo=wifi) | For models | Stable connection |
102
+
103
+ </details>
104
+
105
+ ### 🚀 **Quick Start**
106
 
 
107
  ```bash
108
+ # 📥 1. Clone Repository
109
+ git clone https://github.com/SidddhantJain/Humaniser-Sid.git
110
+ cd Humaniser-Sid
111
+
112
+ # 🐍 2. Setup Environment
113
+ python -m venv .venv
114
+ .venv\Scripts\activate # Windows
115
+ source .venv/bin/activate # Linux/Mac
116
+
117
+ # 📦 3. Install Dependencies
118
  pip install -r requirements.txt
 
119
 
120
+ # 🚀 4. Launch Application
 
121
  python app.py
122
  ```
123
 
124
+ <div align="center">
125
+
126
+ ![Success](https://img.shields.io/badge/Open-http://localhost:7860-success?style=for-the-badge&logo=browser&logoColor=white)
127
+
128
+ </div>
129
+
130
+ ### 📋 **Dependencies**
131
+
132
+ <table>
133
+ <tr>
134
+ <td width="50%">
135
+
136
+ #### 🎯 **Core Dependencies**
137
+ ```
138
+ gradio==4.44.0 # Web interface
139
+ transformers==4.35.0 # AI models
140
+ torch==2.1.0 # Deep learning
141
+ nltk==3.8.1 # Language processing
142
+ ```
143
+
144
+ </td>
145
+ <td width="50%">
146
+
147
+ #### 🔧 **Supporting Libraries**
148
+ ```
149
+ textstat==0.7.3 # Text analysis
150
+ numpy==1.24.3 # Numerical computing
151
+ pandas==2.0.3 # Data manipulation
152
+ protobuf # Model serialization
153
+ ```
154
 
155
+ </td>
156
+ </tr>
157
+ </table>
 
 
 
 
158
 
159
  ## 🛠️ Technical Details
160
 
 
201
 
202
  ## 🌐 Deployment Options
203
 
204
+ <div align="center">
205
+
206
+ ![Deployment Options](https://img.shields.io/badge/Deployment-3_Easy_Options-success?style=for-the-badge&logo=cloud&logoColor=white)
207
+
208
+ </div>
209
+
210
+ <table>
211
+ <tr>
212
+ <td width="33%">
213
+
214
+ ### 🤗 **Hugging Face Spaces**
215
+ #### ⭐ RECOMMENDED - FREE
216
+
217
+ ![HF Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue?style=for-the-badge&logo=huggingface)
218
+
219
+ **✅ Benefits:**
220
+ - 🆓 Completely FREE forever
221
+ - ⚡ Auto-deployment from files
222
+ - 🌍 Global CDN (fast worldwide)
223
+ - 🔒 SSL certificate included
224
+ - 🛠️ No coding required
225
+ - 📱 Mobile-friendly interface
226
+
227
+ **🚀 Deploy Steps:**
228
+ 1. Go to [huggingface.co/spaces](https://huggingface.co/spaces)
229
+ 2. Click "Create new Space"
230
+ 3. Choose Gradio SDK
231
+ 4. Upload `app.py` & `requirements.txt`
232
+ 5. ✨ Auto-deploy in 2-3 minutes!
233
+
234
+ </td>
235
+ <td width="33%">
236
+
237
+ ### 🚂 **Railway**
238
+ #### 💰 FREE TIER AVAILABLE
239
+
240
+ ![Railway](https://img.shields.io/badge/Railway-Deploy-black?style=for-the-badge&logo=railway)
241
+
242
+ **✅ Benefits:**
243
+ - 🎯 GitHub integration
244
+ - 🔄 Auto-deploy on push
245
+ - 💾 Persistent storage
246
+ - 📊 Built-in monitoring
247
+ - 🔧 Environment variables
248
+ - 💳 Credit card not required
249
+
250
+ **🚀 Deploy Steps:**
251
+ 1. Push code to GitHub
252
+ 2. Go to [railway.app](https://railway.app)
253
+ 3. "Deploy from GitHub repo"
254
+ 4. Select your repository
255
+ 5. 🎉 Railway auto-detects & deploys
256
+
257
+ </td>
258
+ <td width="33%">
259
+
260
+ ### 🎨 **Render**
261
+ #### 💰 FREE TIER AVAILABLE
262
+
263
+ ![Render](https://img.shields.io/badge/Render-Deploy-purple?style=for-the-badge&logo=render)
264
+
265
+ **✅ Benefits:**
266
+ - 🔗 GitHub integration
267
+ - 🔒 Free SSL certificates
268
+ - 🔄 Automatic deploys
269
+ - 📈 Scalable infrastructure
270
+ - 💻 Custom domains
271
+ - 📊 Real-time logs
272
+
273
+ **🚀 Deploy Steps:**
274
+ 1. Push to GitHub
275
+ 2. Go to [render.com](https://render.com)
276
+ 3. "New Web Service"
277
+ 4. Connect GitHub repo
278
+ 5. Set build: `pip install -r requirements.txt`
279
+ 6. Set start: `python app.py`
280
+
281
+ </td>
282
+ </tr>
283
+ </table>
284
+
285
+ ---
286
+
287
+ ### 🥇 **Recommended: Hugging Face Spaces**
288
+
289
+ <div align="center">
290
+
291
+ ![Why HF](https://img.shields.io/badge/Why_Choose-Hugging_Face_Spaces-blue?style=for-the-badge&logo=star&logoColor=white)
292
+
293
+ </div>
294
+
295
+ | Feature | Hugging Face | Railway | Render |
296
+ |---------|-------------|---------|---------|
297
+ | 💰 **Cost** | ![Free](https://img.shields.io/badge/Free-Forever-brightgreen) | ![Free](https://img.shields.io/badge/Free-Tier-green) | ![Free](https://img.shields.io/badge/Free-Tier-green) |
298
+ | ⚡ **Setup Time** | ![Fast](https://img.shields.io/badge/2_min-Fast-brightgreen) | ![Medium](https://img.shields.io/badge/5_min-Medium-yellow) | ![Medium](https://img.shields.io/badge/5_min-Medium-yellow) |
299
+ | 🛠️ **Configuration** | ![None](https://img.shields.io/badge/None-Required-brightgreen) | ![Basic](https://img.shields.io/badge/Basic-Config-yellow) | ![Medium](https://img.shields.io/badge/Medium-Config-orange) |
300
+ | 🌍 **Global CDN** | ![Yes](https://img.shields.io/badge/Yes-Available-brightgreen) | ![Limited](https://img.shields.io/badge/Limited-yellow) | ![Yes](https://img.shields.io/badge/Yes-Available-brightgreen) |
301
+ | 📱 **Mobile Optimized** | ![Perfect](https://img.shields.io/badge/Perfect-brightgreen) | ![Good](https://img.shields.io/badge/Good-green) | ![Good](https://img.shields.io/badge/Good-green) |
302
 
303
  ## ⚖️ Ethical Usage
304