Kammarianand / deep_learning_models

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Deep-learning

Overview

This project is a Python-based application developed for fun and to fine-tune skills in software development. It utilizes various modules including Streamlit and TensorFlow to create a web application with features such as text summarization, text translation, text classification, and context recognition within text.

Features

  • Text Summarization: Summarizes text input into concise summaries.
  • Text Translation: Translates text into different languages.
  • Text Classification: Classifies text into predefined categories.
  • Context Recognition: Identifies context within the provided text.

Usage

  1. Navigate to the project directory.
  2. Run the Streamlit application: streamlit run app.py
  3. Access the application through the provided URL.

Future Updates

  • Additional features planned for future updates include:
    • Improved user interface.
    • Integration of advanced machine learning models for text analysis.
    • Support for real-time text processing.
    • Enhanced performance optimizations.

Contribution

Contributions are welcome! Feel free to fork this repository and submit pull requests for any enhancements or bug fixes.

License

This project is licensed under the MIT License.

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License:GNU General Public License v3.0


Languages

Language:Python 100.0%