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Update CHANGELOG.md
This update transforms the Gemini AI Toolkit from a basic API wrapper into a comprehensive, user-friendly, and highly customizable interface for interacting with Google's Gemini API. The changes encompass a complete redesign of the codebase, introducing new functionalities, improving modularization, enhancing user experience, and providing advanced configuration options.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.2.0] - 03/08/2024
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This update transforms the Gemini AI Toolkit from a basic API wrapper into a comprehensive, user-friendly, and highly customizable interface for interacting with Google's Gemini API. The changes encompass a complete redesign of the codebase, introducing new functionalities, improving modularization, enhancing user experience, and providing advanced configuration options.
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Below is an overview of the key changes:
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### Added
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- config.py: A new module for dynamic configuration management, allowing users to set and manage environment variables and API configurations more flexibly.
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- client.py: Introduced to encapsulate all HTTP request handling, including GET and POST requests, with robust error handling and user feedback via loading animations.
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- gemini.py: Defines specialized classes (Chat, Text, and Vision) for handling specific types of interactions with the Gemini API, with support for advanced configuration options.
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- Loading Animations: To provide immediate feedback to the user during network requests, improving the interaction experience.
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- Comprehensive Error Handling: Detailed error messages and handling mechanisms across the toolkit to guide users through resolving issues efficiently.
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- Streaming API Response Support: For real-time feedback and interaction, particularly beneficial for lengthy operations.
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- Advanced Command-Line Interface in cli.py: Offers extensive customization options for API interactions, including safety settings, generation configurations, and operation modes.
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- Safety and Generation Configuration Options: Users can specify detailed safety settings and generation parameters for fine-tuned control over API response content and behavior.
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### Fixed
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- Error Handling Improvements: Refined error handling across the codebase, ensuring that errors are caught and reported more clearly and helpfully.
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- Configuration Load Handling: Enhanced the loading and validation of environment variables to prevent issues related to missing or incorrect configurations.
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### Removed
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- Redundant Code and Modules: Removed base_api.py, gemini_chat.py, gemini_text.py, gemini_vision.py, and gemini_cli.py due to their functionalities being integrated into the new, more efficient modules.
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- Hardcoded Configuration Values: Eliminated the need for directly editing source code to change API keys, model choices, etc., in favor of using environment variables and .env configuration.
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### Changed
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- Modularization and Organization of the Codebase: Restructured the toolkit into more logical, focused modules for better maintainability, scalability, and ease of use.
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- Enhanced User Feedback Mechanisms: Loading animations and improved error messages for a more interactive and informative user experience.
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- Increased Flexibility in API Interactions: Through the introduction of advanced configuration and customization options, making the toolkit adaptable to a wide range of use cases and preferences.
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- Documentation and Inline Comments: Updated and added comprehensive comments and documentation throughout the codebase to facilitate understanding and future modifications.
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## [1.1.0] - 02/17/2024
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Refactored code structure:

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