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| title: mcp-toxicity | |
| emoji: π€ | |
| colorFrom: indigo | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.32.1 | |
| app_file: app.py | |
| pinned: false | |
| python_version: "3.11" | |
| license: mit | |
| # mcp-toxicity | |
| π€ A machine learning model for detecting toxicity in text. | |
| ## Demo | |
| Interact with the model directly in your browser: | |
| π [Try it now on Hugging Face Spaces](https://huggingface.co/spaces/suv11235/mcp-toxicity) | |
| ## Description | |
| This Space hosts a Gradio interface that utilizes a machine learning model to classify text for toxicity. It's designed for quick demonstrations and testing. | |
| ## Requirements | |
| - Python 3.11 | |
| - Gradio Version: 5.32.1 | |
| - Additional dependencies as specified in `requirements.txt` | |
| ## License | |
| This project is licensed under the MIT License. | |
| ## Citation | |
| If you use this Space in your research, please cite it as: | |
| @misc{mcp-toxicity, | |
| author = {Suvajit Majumder}, | |
| title = {MCP Toxicity Detection}, | |
| year = {2025}, | |
| url = {https://huggingface.co/spaces/suv11235/mcp-toxicity} | |
| } | |