Update README.md

README.md

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-# 🎬 Movie Recommendation System
-
-This is a **content-based movie recommender** built using **Python, Streamlit, and Hugging Face Spaces**.  
-It suggests movies similar to your favorite film using cosine similarity on movie metadata.
-
-## 🚀 Features
-- Search any movie from the dataset
-- Get 5 similar movie recommendations instantly
-- Interactive web app powered by Streamlit
-
-## 🛠 Tech Stack
-- **Python 3.9**
-- **Pandas**, **NumPy** for data processing
-- **Scikit-learn** for cosine similarity
-- **Streamlit** for UI
-- Hosted on **Hugging Face Spaces**
-
-## 📂 Dataset
-The app uses:
-- `tmdb_5000_movies.csv`
-- `tmdb_5000_credits.csv`  
-(from [Kaggle TMDB Movie Dataset](https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata)).
-
-## 🔗 Live Demo
-👉 [**Try the App Here**](https://huggingface.co/spaces/akashraut/RECOMMENDATION_SYSTEM)
-
 ---
-
-### How to Run Locally
-```bash
-git clone https://huggingface.co/spaces/akashraut/RECOMMENDATION_SYSTEM
-cd RECOMMENDATION_SYSTEM
-pip install -r requirements.txt
-streamlit run app.py
+title: Movie Recommendation System
+emoji: 🎬
+colorFrom: purple
+colorTo: blue
+sdk: streamlit
+sdk_version: "1.37.0"
+app_file: app.py
+pinned: false
+---