Update README.md

README.md

@@ -9,5 +9,47 @@ app_file: app.py
 pinned: false
 license: apache-2.0
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+# Sentiment Analyzer
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+An interactive tool for sentiment analysis using the `nlptown/bert-base-multilingual-uncased-sentiment` model. Built with Gradio and deployed on Hugging Face Spaces.
+
+## Features
+
+- **Sentiment Analysis**: Predicts sentiment on a 1 to 5-star scale.
+- **Multilingual Support**: Works with multiple languages.
+- **User-Friendly Interface**: Simple input and output for quick analysis.
+- **No Installation Required**: Use it directly online.
+
+## Access the App
+
+Try it here:  
+[https://huggingface.co/spaces/RawadAlghamdi/sentiment-analyzer](https://huggingface.co/spaces/RawadAlghamdi/sentiment-analyzer)
+
+## Running Locally (Optional)
+
+To run the app on your machine:
+
+1. Install dependencies:
+    ```bash
+    pip install gradio transformers torch
+    ```
+2. Run the application:
+    ```bash
+    python app.py
+    ```
+3. Open the provided local URL in your browser.
+
+## How It Works
+
+1. Enter a sentence or paragraph into the input box.
+2. Click submit to analyze the sentiment.
+3. The predicted sentiment (1 to 5 stars) appears in the output box.
+
+## Customization
+
+- Replace the model in `pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")` to test other sentiment analysis models.
+- Modify `examples` to add more test inputs.
+
+## License
+
+Licensed under the **Apache License 2.0**. See [LICENSE](LICENSE) for details.