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Walkthrough
The recent changes introduce new configuration files, scripts, and source code enhancements to the OCR project. These changes encompass setting up Docker and Ansible deployments, Flake8 configurations, web API endpoints, and numerous new functionalities supporting various text-processing models. The project now supports enhanced orchestration and deployment flexibility with clear instructions for contributors and developers.
Changes
| File(s) | Change Summary |
|---|---|
| OCR/.flake8 | Added Flake8 configuration settings including ignored rule E501, max line length 79, max complexity 10, and selected errors |
| OCR/.gitignore | Expanded to include a comprehensive list of files and directories to be ignored by Git |
| OCR/Dockerfile, OCR/devops/services/nginx/... | Introduced Dockerfile for Python environment setup, Docker images, and Nginx configuration. |
| OCR/README copy.md | Setup instructions for the AI Toolchain for deploying machine learning models |
| OCR/api.py | Implemented a web API with Quart, handling repository data and transformations. |
| OCR/benchmarks/init.py, OCR/flake8/init.py | Introduced import statements |
| OCR/config.json | Configuration settings for various models |
| OCR/contribution.md | Added a style guide referencing PEP 8 and PEP 257 for coding standards |
| OCR/deploy.sh | Bash script for setting up a Python virtual environment and deploying a text translation service |
| OCR/devops/services/..., OCR/src/... | Added Docker and Ansible setup files, including Docker Compose, Vault, and Nginx services configuration. |
| OCR/flake8/setup.py, OCR/flake8/single_word_module.py | Introduced a Flake8 plugin for enforcing single-word lowercase module names |
| OCR/generate.sh, OCR/generate_independent_docker.sh | Scripts for generating Docker Compose files based on config.json |
| OCR/pyproject.toml | Updated with dependencies for various AI tooling libraries |
| OCR/repository_data.json | Added structured configuration for text processing use cases related to text translation, language detection, ASR, and more |
| OCR/sample.env | Introduced environment variables such as API keys and Docker registry URL |
| OCR/src/core.py, OCR/src/florence_ocr/model.py | New functions for translating text and detecting language, alongside OCR functionalities |
Sequence Diagram(s)
sequenceDiagram
participant Client
participant API
participant Model
participant Service
Client->>+API: Request Repository Data
API->>+Model: Fetch Data
Model-->>-API: Return Data
API-->>-Client: Respond with Data
Client->>+API: Request Transformation
API->>+Model: Fetch Configuration
Model-->>-API: Return Configuration
API->>+Service: Perform Transformation
Service-->>-API: Return Result
API-->>-Client: Respond with ResultPoem
In code we trust, advancements bright,
With Docker, scripts, and APIs in sight.
Transform and translate, the OCR way,
Flask, Nginx guide us, day by day.
Commit with care, deploy with cheer,
Our rabbit's work, all clear, precise, sincere!☁️🔧📜
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Summary by CodeRabbit
New Features
Documentation
Configuration
Scripts