feat: all improvements from diegomcolucci fork - #5
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- Bump version to 0.7.0 in setup.py - Update requirements.txt to use published captacity-clipify package - Update MANIFEST.in to include package files and exclude unnecessary files - Modify example.py to remove unused imports and simplify example - Add comprehensive README.md with project details, badges, and usage instructions - Remove dependency links in setup.py and add include_package_data flag
…aspect ratio - Updated VideoConverter to create mobile-friendly videos with blurred backgrounds - Added support for dynamic aspect ratio conversion (9:16, 4:5, 1:1) - Implemented frame processing with centered main video and blurred background - Added Gaussian blur method to create visually appealing background - Improved resizing logic to maintain video content while adapting to target ratio
- Updated Clipify class to support custom caption styling options - Modified VideoProcessor to accept detailed caption configuration parameters - Adjusted HyperbolicAI temperature for more creative text generation - Bumped package version to 0.8.0 to reflect new features
- Refactor directory creation to support video-specific segmented and processed folders - Update `process_video` method to dynamically create directories based on video name - Modify file path generation to use video-specific subdirectories - Return video name and output directories in processing result
- Update version number in setup.py to reflect recent enhancements - Prepare for release with new video processing and configuration features
…aries - Replace captacity-clipify with captacity in requirements.txt - Remove SpeechRecognition and vosk dependencies from requirements.txt and setup.py - Add captacity package to setup.py requirements
- Replace 'captacity' with 'captacity-clipify' in requirements.txt and setup.py - Bump package version to 1.0.0 - Update import statement in video processor to use captacity_clipify module - Modify captacity function call to use new module name
- Enhance text processor to handle edge cases in segment timing extraction - Implement more robust text matching and timing validation in SmartTextProcessor - Update VideoCutter to skip segments with invalid timing information - Fix import in VideoProcessor to use correct captacity function - Bump package version to 1.0.1
- Introduce new VideoConverterStretch class for video aspect ratio conversion - Support multiple mobile-friendly ratios (1:1, 4:5, 9:16) - Update package version to 1.2.0 - Add VideoConverterStretch to package imports and __all__ lists
…ions - Add new parameters for font, word highlighting, and text processing - Update captacity-clipify dependency to version 0.3.2 - Bump package version to 1.3.0 - Introduce more flexible video processing configuration - Add optional initial prompt and local whisper usage control
- Remove NLTK-related imports and downloads from multiple files - Simplify keyword extraction and text processing methods - Update text processor to use custom stop words list - Remove unnecessary NLTK resource management code - Bump package version to 1.8.0 - Enhance AI provider configuration with optional max_tokens and temperature
- Implement OllamaProvider class for local AI inference - Support multiple Ollama models (llama2, mistral, codellama) - Add Ollama provider to get_ai_provider function - Implement response caching and retry mechanism - Bump package version to 1.9.0
- Integrate OllamaProvider into core AI providers - Update package version to 2.0.0 - Bump captacity-clipify dependency to version 0.3.3 - Expose OllamaProvider in package imports
- Add api_key parameter to OllamaProvider constructor - Include a note that the API key is ignored for local Ollama inference - Bump package version to 2.0.1
…mentation - Restructure README with detailed feature sections - Add badges and quick start guide - Include usage examples with advanced configuration - Expand project structure and configuration options - Improve readability and visual presentation - Add contributing guidelines and support information
- Reorganize package structure for better separation of concerns - Create dedicated modules for video, audio, and core processing - Add descriptive comments to clarify module purposes - Update README.md to reflect new project layout - Improve project organization and maintainability
…xamples - Resize and update Clipify logo - Modify download badges for installable app and server - Add code examples for new modules: * AudioExtractor * SpeechToText * VideoConverter * VideoConverterStretch * VideoCutter * SmartTextProcessor - Update project links and contact information - Improve documentation readability and visual presentation
- Replace generic 'latest' download links with version-specific URLs - Update badges for Clipify-Hub installable app and server executables - Ensure direct links point to the correct 3.3.0 release
- Standardize requirements.txt with pinned dependency versions - Update setup.py with matching dependency versions and bumped package version - Expand example.py with comprehensive usage demonstrations for Clipify modules - Add build and publish scripts for package management - Improve code structure and provide more detailed usage examples
- Create comprehensive example.py demonstrating Clipify module usage - Add MANIFEST.in for package distribution configuration - Update setup.py with package metadata and dependencies - Remove unnecessary __pycache__ files - Standardize project structure and configuration
- Include comprehensive VideoProcessor usage example - Demonstrate advanced captioning features - Update README with new module documentation - Bump package version to 2.1.2
- Update NumPy from version 1.24.3 to 1.26.4 - Increment package version from 2.1.2 to 2.1.4 in setup.py - Synchronize dependency versions in requirements.txt and setup.py
- Modify build script to use relative paths for build artifacts - Simplify build script directory references - Ensure consistent build process across different environments
- Update README.md with more descriptive module comments - Reorganize file structure with clearer module responsibilities - Add scripts directory for build and publish scripts - Enhance module descriptions to reflect current implementation - Improve overall project documentation and readability
- Implemented GoogleGeminiProvider class for interacting with the Gemini API. - Updated example.py to demonstrate usage with Google provider. - Added .env.save file for environment variable configuration. - Created gemini_pipeline.py for processing video highlights using Gemini. - Added clipify-gemini script for executing the pipeline.
- Implemented selection between Google Gemini and OpenAI for highlight extraction in the Gradio UI. - Updated README.md with new AI provider configuration details. - Enhanced run_pipeline function to validate API keys based on selected provider. - Added environment variable options for OpenAI API keys and models. - Introduced CI workflow for automated testing. - Added tests for the new AI provider functionality.
…ubtitle positioning
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