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The projects are implemented using Flask for the backend and HTML/CSS/JavaScript for the frontend.\n\n---\n\n## Projects Overview\n\n### 1. **Ensemble Summarization**\nThis project uses an ensemble of two pre-trained models, **BART** and **GPT-2**, to generate summaries of input text. The ensemble method combines the outputs of both models and selects the most frequent summary as the final result.\n\n- **Models Used**:\n  - **BART (Bidirectional and Auto-Regressive Transformers)**: A transformer-based model fine-tuned for summarization tasks.\n  - **GPT-2 (Generative Pre-trained Transformer 2)**: A transformer-based model capable of generating coherent and contextually relevant text.\n\n- **Features**:\n  - Input text is summarized using both models.\n  - The final summary is selected based on the most frequent output.\n  - Interactive web interface for input and output.\n\n---\n\n### 2. **T5 Summarization**\nThis project uses the **T5 (Text-To-Text Transfer Transformer)** model for text summarization. T5 is a versatile transformer model that treats all NLP tasks as a text-to-text problem, making it highly effective for summarization.\n\n- **Model Used**:\n  - **T5 (Text-To-Text Transfer Transformer)**: A transformer-based model fine-tuned for summarization tasks.\n\n- **Features**:\n  - Input text is summarized using the T5 model.\n  - Interactive web interface for input and output.\n\n---\n\n## Technologies Used\n\n- **Backend**:\n  - Python\n  - Flask (Web framework)\n  - Hugging Face Transformers (for pre-trained models)\n  - PyTorch (for model inference)\n\n- **Frontend**:\n  - HTML\n  - CSS\n  - JavaScript\n\n- **Pre-trained Models**:\n  - BART (`facebook/bart-large-cnn`)\n  - GPT-2 (`gpt2`)\n  - T5 (`t5-base`)\n\n---\n\n## Application Interface\n\n**T5 Summarization**\n\n\u003cimg src=\"ui/ui-t5.PNG\" alt=\"Original Image\" width=\"700\"\u003e\n\n\u003cbr\u003e\n\n**Ensemble Summarization**\n\n\u003cimg src=\"ui/ui-ensembles.PNG\" alt=\"Original Image\" width=\"700\"\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnigdho8869%2Ftext-summarization-with-transformers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsnigdho8869%2Ftext-summarization-with-transformers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnigdho8869%2Ftext-summarization-with-transformers/lists"}