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| title: Multi Beam Text Streamer | |
| emoji: 🏆 | |
| colorFrom: green | |
| colorTo: pink | |
| sdk: docker | |
| pinned: false | |
| short_description: A generic text streamer that supports beam search and manage | |
| # Beam Search Generator with MultiBeamTextStreamer | |
| This Hugging Face Space hosts a **Beam Search Generator** web application, powered by a Flask backend and integrated with Hugging Face Transformers. The application provides real-time visualization of beam search generation, offering insights into how language models explore multiple text completion possibilities simultaneously. | |
| ## 🚀 Features | |
| - Real-time visualization of active and completed beams. | |
| - Adjustable generation parameters: | |
| - Number of beams. | |
| - Maximum tokens. | |
| - Generation speed (using delay sliders). | |
| - Seamless interaction with Hugging Face Transformers. | |
| - Powered by the custom `MultiBeamTextStreamer` from the Transformers library. | |
| ## 📜 How It Works | |
| 1. Input a **prompt** in the text box. | |
| 2. Configure generation settings: | |
| - Number of beams. | |
| - Maximum token count. | |
| - Delay speed. | |
| 3. Click **Generate** to visualize the beam search process in real-time. | |
| ## 🛠️ Setup Instructions | |
| ### Running Locally | |
| 1. **Clone the repository**: | |
| ```bash | |
| git clone https://huggingface.co/spaces/<your-username>/<your-space-name> | |
| cd <your-space-name> | |