Update README and requirements.txt to reflect Python version change from 3.10 to 3.11 and adjust installation instructions for llama-cpp-python to ensure compatibility with HF Spaces. Clarify build requirements for a smoother user experience.
Update app.py, README, and requirements.txt to reflect changes in default model and supported versions. Set Qwen 0.5B as the new default model, remove outdated models, and clarify build requirements for llama-cpp-python. Enhance user guidance on model loading and compatibility.
Update README to clarify that the Space runs plain Python instead of PySpark, emphasizing the ability to replicate meetara-spark workflows without a Spark cluster.
Update model recommendations in app.py and README to reflect new default and working models. Enhance error messages for model loading failures to provide clearer guidance. Upgrade llama-cpp-python version in requirements.txt for improved compatibility.
Update README to reflect Python version change from 3.11 to 3.10 and revise model recommendations for improved clarity. Simplify the models section to highlight those that load reliably with the current setup, while providing guidance on handling loading failures.
Refactor model management in app.py by reordering model definitions and updating the default model to enhance user experience. Improve error handling during model loading with retries and context adjustments. Update requirements.txt to use the latest llama-cpp-python version for better compatibility.
Improve model loading process in app.py by adding helper functions for path resolution and file validation. Enhance error handling to ensure models are fully downloaded before loading, providing clearer feedback for users in case of issues.
Enhance error handling in model loading and update user guidance in README. Introduce a hook to suppress asyncio warnings on shutdown and provide clearer model loading failure messages. Update recommended models section for better user experience.
Refactor model loading in app.py to improve error handling and introduce helper functions for downloading and loading models. Enhance chat prompt building to accommodate Gradio 6 message formats, ensuring better compatibility and clarity in user interactions.
Refactor app.py to streamline Blocks initialization by removing redundant theme and CSS parameters. Update demo.launch to include theme and CSS settings directly for improved clarity.
Update README for clarity on distributed Spark usage and modify requirements.txt to specify llama-cpp-python version for improved dependency management.
Update README to include Python version and clarify PySpark installation for local usage. Add PySpark as a dependency in requirements.txt for enhanced functionality.
Revise README to clarify functionalities of meeTARASpark on Hugging Face, emphasizing Batch and Chat usage. Update sections on task types and example prompts for better user guidance.
Enhance meeTARASpark application with Batch and Chat functionalities, including task types for batch processing and improved prompt building. Update README to reflect new features and usage instructions. Remove outdated requirements.txt file.
Update README to correct filename references from 'requirement.txt' to 'requirements.txt' and add requirements.txt file for dependency management in HF Spaces.
Enhance meeTARASpark Chat application with model selection, caching, and responsive design. Update README with usage instructions and repository details. Add requirements file for dependencies.
