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| title: Sentiment-Aware Text Generator | |
| emoji: 🤖 | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: streamlit | |
| app_file: app.py | |
| pinned: false | |
| # Sentiment-Aware Text Generator | |
| This app leverages Hugging Face pretrained models to generate paragraphs aligned with the sentiment of an input prompt. | |
| ## How It Works | |
| 1. The user enters a text prompt into the Streamlit web interface. | |
| 2. The app uses a RoBERTa-based sentiment analysis model to classify the sentiment as positive, negative, or neutral. | |
| 3. Based on this sentiment, it crafts a prompt for text generation. | |
| 4. The Qwen text-generation model generates a paragraph matching the detected sentiment. | |
| 5. The app displays both the detected sentiment and the generated paragraph interactively. | |
| ## Requirements | |
| The app requires Python packages listed in `requirements.txt`, including: | |
| - streamlit | |
| - transformers | |
| - torch | |
| ## Running the App | |
| To run: | |
| https://huggingface.co/spaces/dimoZ/AI_Sentiment_Essay_Generato |