# Custom Text Input Feature - Implementation Guide

## Overview
The Style Transfer AI application now supports direct text input for analysis, eliminating the need for text files when sample files or file paths are not available. This makes the application more accessible and user-friendly.

## New Feature: Direct Text Input

### What's New
- **Option 3**: "Enter custom text directly (no files needed)" in the file selection menu
- **Direct Analysis**: Analyze text without creating or managing files
- **Flexible Input**: Support for single paragraphs or multi-paragraph documents
- **Smart Validation**: Minimum length checking and user confirmation for short texts
- **Seamless Integration**: Works with all existing analysis modes and models

### How It Works

#### 1. File Selection Menu Enhancement
When users choose analysis options (1 or 2), they now see:
```
Options:
1. Use sample files (recommended for testing)
2. Specify your own file paths  
3. Enter custom text directly (no files needed)
```

#### 2. Custom Text Input Process
When selecting option 3:
```
CUSTOM TEXT INPUT
===========================================
Enter your text for analysis. You can:
• Paste a single paragraph or document
• Enter multiple paragraphs (empty line to finish)
• Minimum recommended: 100+ words for meaningful analysis
===========================================

Enter your text (press Enter twice to finish):
--------------------------------------------------
[User enters text here]
[Press Enter twice to complete]

✓ Text captured: 125 words, 650 characters
```

#### 3. Smart Validation
- **Length Check**: Warns if text is under 50 words
- **User Confirmation**: Asks to proceed with short texts
- **Word/Character Count**: Provides immediate feedback
- **Empty Input Handling**: Graceful handling of no input

#### 4. Analysis Integration
- **Same Analysis**: Uses identical analysis pipeline as file-based input
- **All Models Supported**: Works with Ollama, OpenAI, and Gemini models
- **Processing Modes**: Supports both 'enhanced' and 'statistical' modes
- **Profile Generation**: Creates complete style profiles like file-based analysis

## Implementation Details

### Modified Files

#### 1. `src/utils/user_profile.py`
- **Enhanced `get_file_paths()`**: Added option 3 for custom text
- **New `get_custom_text_input()`**: Handles direct text input with validation
- **Return Format**: Returns dictionary with special structure for custom text

```python
# Custom text return format
{
    'type': 'custom_text',
    'text': 'user_entered_text...',
    'word_count': 125,
    'source': 'direct_input'
}
```

#### 2. `src/analysis/analyzer.py`
- **Enhanced `create_enhanced_style_profile()`**: 
  - Changed parameter from `file_paths` to `input_data`
  - Added detection for custom text vs file paths
  - Handles both input types seamlessly
  - Maintains all existing functionality

#### 3. `src/menu/main_menu.py`
- **Updated Analysis Functions**: Modified to use new input handling
- **Variable Renaming**: `file_paths` → `input_data` for clarity
- **Backward Compatibility**: Maintains existing file-based workflow

### Technical Implementation

#### Input Detection Logic
```python
if isinstance(input_data, dict) and input_data.get('type') == 'custom_text':
    # Handle custom text input
    file_content = input_data['text']
    source_name = "custom_text_input"
else:
    # Handle file paths (original logic)
    file_paths = input_data if isinstance(input_data, list) else []
```

#### Text Processing
- **Statistics Calculation**: Same `extract_basic_stats()` function
- **Analysis Pipeline**: Identical `analyze_style()` processing
- **Output Format**: Consistent with file-based analysis
- **Source Tracking**: Marks custom text with 'direct_input' source

## User Experience

### Before (Files Required)
```
Options:
1. Use sample files (recommended for testing)
2. Specify your own file paths

Enter your choice (1-2): 2
Enter file paths (one per line, empty line to finish):
File path: [User must have files ready]
```

### After (Flexible Input)
```
Options:
1. Use sample files (recommended for testing)  
2. Specify your own file paths
3. Enter custom text directly (no files needed)

Enter your choice (1-3): 3
[User can paste text directly]
```

### Benefits
- ✅ **No File Management**: Users don't need to create/save text files
- ✅ **Quick Testing**: Instant analysis of copied text from any source
- ✅ **Accessibility**: Works for users without file access or technical skills
- ✅ **Flexibility**: Supports various text lengths and formats
- ✅ **Validation**: Provides helpful feedback and recommendations

## Usage Examples

### Example 1: Blog Post Analysis
```
User wants to analyze their blog post writing style:
1. Copy text from their blog editor
2. Choose analysis option
3. Select "Enter custom text directly"
4. Paste the blog post content
5. Get comprehensive style analysis
```

### Example 2: Email Style Check
```
User wants to analyze their professional email style:
1. Copy several email examples
2. Paste them as one combined text
3. Receive analysis of their email communication patterns
```

### Example 3: Academic Writing Review
```
Student wants to analyze their essay writing:
1. Copy essay paragraphs
2. Use custom text input
3. Get feedback on academic writing style
```

## Backwards Compatibility
- ✅ **Existing Users**: No changes to current workflows
- ✅ **File-based Analysis**: Continues to work exactly as before
- ✅ **API Compatibility**: All model integrations unchanged
- ✅ **Output Format**: Identical analysis result structure

## Testing
- ✅ **Feature Integration**: Verified with test scripts
- ✅ **Analysis Pipeline**: Confirmed identical processing
- ✅ **Error Handling**: Graceful handling of edge cases
- ✅ **User Interface**: Tested menu navigation and input validation

## Future Enhancements
- **Rich Text Support**: HTML/Markdown text processing
- **Batch Text Input**: Multiple text samples in one session
- **Import Integration**: Direct import from clipboard or web pages
- **Text Preprocessing**: Automatic cleaning and formatting options

This feature significantly improves the accessibility and usability of Style Transfer AI, making it easier for users to analyze their writing without file management overhead.