feat: Enhance Talk to PDF app with improved structure and error handling #31
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This PR introduces significant improvements to the Talk to PDF application, focusing on code structure, error handling, and user experience.
Key improvements:
Code Refactoring: The code has been refactored into well-defined functions, improving readability, maintainability, and testability. This makes the codebase easier to understand and modify.
Robust Error Handling: Comprehensive error handling has been added throughout the application. This ensures that the application gracefully handles unexpected errors, providing informative messages to the user and preventing crashes. Detailed logging has also been implemented to aid in debugging.
Input Validation: Validation has been added to prevent invalid API keys from causing application errors. The application now provides feedback to the user if an invalid API key is entered.
Multiple PDF Uploads: The application now supports uploading multiple PDF files simultaneously, enhancing its functionality and user experience.
Improved User Experience: The user interface has been improved with clearer messages and feedback, making the application more user-friendly.
Model Selection and Temperature Adjustment: Added support for selecting between
gpt-3.5-turbo
andgpt-4
models, and adjusting the temperature parameter for controlling the randomness of the model's output.Detailed Changes:
The
0_API_KEY.py
file has been significantly restructured to improve code organization and readability. Error handling has been added to manage invalid API keys.The
functions.py
file has been refactored to include functions for sidebar creation, document processing, and query engine setup. Error handling and logging have been added to improve robustness.The
pages/1_UPLOAD_PDF.py
file has been improved to handle multiple PDF uploads and provide better feedback to the user. Model selection and temperature adjustment have been added.The
pages/2_CHAT_WITH_PDF.py
file has been improved to handle potential errors during response generation and provide more informative error messages to the user.This PR significantly enhances the quality, robustness, and user experience of the Talk to PDF application.