Analyzes text for sentiment and sarcasm using Hugging Face Transformers within a Gradio application.
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This lightweight application provides sentiment analysis and sarcasm detection for text inputs. Built with Hugging Face Transformers and a Gradio UI, it efficiently processes text to classify sentiment as positive or negative and identify sarcasm with a confidence score. Designed to run on CPU and fully compatible with the Hugging Face MCP server architecture, it outputs structured JSON responses, making it ideal for integration into various text processing workflows.
Características Principales
01Sentiment classification (positive/negative)
02CPU-compatible for broad accessibility
03Simple and clean Gradio interface
04Structured JSON output format
050 GitHub stars
06Sarcasm detection with probability scores
Casos de Uso
01Processing user feedback or social media posts for emotional tone
02Developing text analysis components within Hugging Face MCP server environments
03Integrating sentiment and sarcasm analysis into web applications
