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| title: AI Applications | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.35.0 | |
| app_file: app.py | |
| pinned: false | |
| license: other | |
| short_description: Multifunctional AI Language App | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # π§ AI Language Toolkit | |
| This Gradio-based application brings together three core NLP capabilities in one interactive interface: | |
| ## β¨ Features | |
| πΉ **Sentiment Analysis** | |
| Detects the emotional tone of any sentence (positive, negative, or neutral) using a multilingual model. | |
| πΉ **Text Summarization** | |
| Summarizes long passages into concise, clear summaries with a powerful transformer model. | |
| πΉ **Text-to-Speech (TTS)** | |
| Converts English text into realistic speech using a neural voice model (Coqui TTS). | |
| --- | |
| ## π How to Use | |
| 1. Select a tab based on the task: | |
| - **Sentiment Analysis** β Enter a sentence to analyze its sentiment. | |
| - **Summarization** β Paste a long text to get a short summary. | |
| - **Text-to-Speech** β Type a sentence to hear it spoken aloud. | |
| 2. Click the corresponding button to get your result. | |
| --- | |
| ## π οΈ Technical Info | |
| - Built with **Gradio** | |
| - Models used: | |
| - `tabularisai/multilingual-sentiment-analysis` (Sentiment) | |
| - `facebook/bart-large-cnn` (Summarization) | |
| - `tts_models/en/ljspeech/tacotron2-DDC` (TTS) | |
| --- | |
| ## π¦ Requirements | |
| This Space uses the following libraries: | |
| ```txt | |
| transformers | |
| gradio | |
| TTS | |
| torch | |
| sentencepiece | |