Update README.md

README.md

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+<!-- ---
 title: Recipe Rating And Menu Optimization
 emoji: 🌖
 colorFrom: yellow
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 sdk_version: 1.41.1
 app_file: app.py
 pinned: false
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+--- -->
+# Recipe Rating & Menu Optimization
+
+This project uses machine learning to predict the rating of recipes and decide whether they should be included in a menu. It is built using **TensorFlow**, **Streamlit**, and other popular Python libraries like **scikit-learn**, **nltk**, and **pandas**. The app takes input from users, processes the recipe data, and outputs the predicted rating along with a recommendation on whether the recipe should be included on the menu.
+
+## 🛠️ Technologies Used
+
+- **Streamlit**: For building the interactive web application.
+- **TensorFlow**: For building and loading the pre-trained model.
+- **scikit-learn**: For data preprocessing, such as scaling numerical features.
+- **nltk**: For natural language processing, including tokenizing and removing stopwords.
+- **pandas**: For data manipulation and handling.
+- **NumPy**: For numerical operations.
+
+## 📋 Project Requirements
+
+This project requires the following Python libraries:
+
+- streamlit==1.19.0
+- tensorflow==2.16.1
+- nltk==3.8.1
+- scikit-learn==1.2.0
+- numpy==1.24.1
+- pandas==1.5.3
+
+To install all the required dependencies, simply run:
+
+```bash
+pip install -r requirements.txt
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference