Fix generate_promot.py: Add error handling, fallback functions, and requirements.txt

[Copilot]

The generate_promot.py script was completely non-functional due to missing dependencies and inadequate error handling. This PR transforms it into a robust, production-ready prompt generation tool.

Problem

The original script failed immediately when run:

$ python3 generate_promot.py
Traceback (most recent call last):
  File "generate_promot.py", line 5, in <module>
    import PyPDF2
ModuleNotFoundError: No module named 'PyPDF2'

Additional issues included:

• Hard dependencies on PyPDF2, NLTK, and jieba with no fallbacks
• Missing input file (example.pdf) with no alternatives
• No error handling for NLTK tokenizer data downloads
• No documentation for setup or usage

Solution

🔧 Robust Dependency Management

• Made all external dependencies optional with graceful fallbacks
• Added informative warnings when packages are unavailable
• Implemented basic regex-based sentence splitting when NLTK is missing
• Added fallback Chinese text processing for when jieba is unavailable

📁 Multiple Input Sources

• Added support for plain text files (example.txt) as PDF alternative
• Created built-in sample text for immediate testing without any files
• Enhanced file existence checking with clear error messages

🛠️ Enhanced Error Handling

• Fixed NLTK tokenizer data download issues (both punkt and punkt_tab)
• Added comprehensive try-catch blocks around all external dependencies
• Graceful degradation when advanced features are unavailable

📋 Supporting Files

• Created requirements.txt with optional dependencies clearly documented
• Added example.txt with sample content for immediate testing
• Updated README.md with Quick Start section and usage instructions

Testing Results

The script now works in all scenarios:

Without dependencies (basic functionality):

$ python3 generate_promot.py
Generated Prompts from text file:
1. This is a sample text file for testing prompt generation
2. Artificial intelligence has revolutionized many industries
3. Machine learning algorithms can identify patterns in large datasets
...

With dependencies (enhanced features):

$ pip install -r requirements.txt
$ python3 generate_promot.py
Generated Prompts from text file:
1. This is a sample text file for testing prompt generation.
2. Artificial intelligence has revolutionized many industries.
...

No input files (built-in samples):

$ python3 generate_promot.py
No input files found. Using sample text...

=== English Prompts ===
1. Prompt engineering is the art of crafting effective instructions for AI models
...

=== Chinese Prompts ===
1. 人工智能是未来的技术
...

This minimal but comprehensive fix addresses the core issue while maintaining all original intended functionality, making the prompt generation tool immediately usable for anyone cloning the repository.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>A prompt.</issue_title>
<issue_description></issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #69

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