Update README.md

README.md

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 license: agpl-3.0
 short_description: Une intelligence artificielle pour écrire des appréciations
 suggested_hardware: t4-small
----
+---
+
+# Demo for `eltorio/Llama-3.2-3B-appreciation`
+
+This is a Hugging Face Space demo application that showcases the performance of the fine-tuned model [`eltorio/Llama-3.2-3B-appreciation`](https://huggingface.co/eltorio/Llama-3.2-3B-appreciation). Based on the Meta Llama 3.2 3B Instruct architecture, this model is fine-tuned to deliver high-quality automatic evaluations and appreciation generation.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66fd1702f344e19e7dab4a36/4M_R2j4T3DW4AxD_Eu95i.png)
+
+
+## 🚀 Features
+
+- **Intuitive Gradio Interface**: Easy-to-use input fields for seamless interaction.
+- **High-Performance Model**: Built upon Llama 3.2 3B-Instruct, offering state-of-the-art generation capabilities.
+- **Custom Fine-Tuning**: Tailored for appreciation and evaluation text generation tasks.
+- **Real-Time Outputs**: Fast inference for generating quality results, powered by GPU support.
+
+## 🔧 How to Use
+
+1. Open the hosted Space: [Demo Link](https://huggingface.co/spaces/eltorio/Llama-3.2-3B-appreciation).
+2. Enter your text prompt in the input field (e.g., "Generate a positive review for a software product").
+3. Click **Submit** to see the generated output from the model.
+
+
+## 🛠️ Technical Details
+
+- **Model ID**: [`eltorio/Llama-3.2-3B-appreciation`](https://huggingface.co/eltorio/Llama-3.2-3B-appreciation)
+- **Base Model**: `meta-llama/Llama-3.2-3B-Instruct`
+- **Libraries Used**:
+  - [Transformers](https://github.com/huggingface/transformers)
+  - [PEFT](https://github.com/huggingface/peft)
+  - [Gradio](https://github.com/gradio-app/gradio)
+- **Dependencies**:
+  - GPU-enabled PyTorch for fast computation.
+  - A valid `HF_TOKEN` environment variable to authenticate access to the model.
+
+
+## 📦 Installation (Local Setup)
+
+To run this application locally, follow these steps:
+
+1. Clone this repository:
+   ```bash
+   git clone https://huggingface.co/spaces/eltorio/Llama-3.2-3B-appreciation
+   cd Llama-3.2-3B-appreciation
+   ```
+
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. Set your Hugging Face token:
+   ```bash
+   export HF_TOKEN=your_huggingface_api_token
+   ```
+
+4. Run the application:
+   ```bash
+   python app.py
+   ```
+
+5. Access the app at `http://localhost:7860`.
+
+---
+
+## 📜 License
+
+This project is licensed under the **AGPL-3.0** license. See the [LICENSE](LICENSE) file for details.
+
+## 🌟 Acknowledgements
+
+Special thanks to:
+- Meta for the Llama 3.2 architecture.
+- Hugging Face for providing tools to fine-tune and deploy models.
+- The AI community for continuous inspiration and support.