YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

DGUI SourceCleanR

Source Code Cleaning & Transformation Utility for DeckerGUI.

Overview

Notepad++-styled web utility for transforming raw/unstructured source code (HTML), text, and PDFs into clean, human-readable formats using Gemini AI.

Modes

  • Normal Mode: Process a single source file with AI-powered cleaning
  • AutoClean Mode: Batch process up to 100 files simultaneously

Output Formats

  • TXT โ€” Plain text output
  • JSON โ€” Structured data output
  • XML โ€” Marked-up output format

Features

  • HTML source code cleanup and formatting
  • PDF text extraction and normalization
  • Batch processing with progress tracking
  • AI-powered understanding of code structure
  • Preserves semantic meaning while removing noise

Integration

SourceCleanR connects to the DeckerGUI ecosystem through the DSYNC module for dataset generation and the KPI Tokenizer for usage tracking.

Citation

@software{deckergui-sourcecleanr,
  title={DGUI SourceCleanR},
  author={wan mohd azizi},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/ctaxnagomi/DGUI-SourceCleanR}
}
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