Update README.md

README.md

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-<!-- ---
+---
 title: Recipe Rating And Menu Optimization
 emoji: 🌖
 colorFrom: yellow
@@ -7,34 +7,7 @@ sdk: streamlit
 sdk_version: 1.41.1
 app_file: app.py
 pinned: false
---- -->
-# 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