Update README.md

updated readme file

README.md

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- # Traveler Review Sentiment Analysis
-
-This is a sentiment analysis model that predicts whether a traveller's review is positive or negative. The model uses TF-IDF vectorization and a trained classifier to make predictions.
-
-## How to Use
-
-1. Enter your review in the text box
-2. Click "Analyze Sentiment"
-3. The model will predict whether the review is positive or negative
-
-## Model Details
-
-- Uses TF-IDF vectorization for text preprocessing
-- Trained on movie review data
-- Returns either "Positive Review 😊" or "Negative Review 😞"
-
-## Requirements
-
+---
+title: Movie Review Sentiment Analysis
+emoji: 🎬
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 3.50.0
+app_file: gradio_app.py
+pinned: false
+---
+
+# Movie Review Sentiment Analysis
+
+This is a sentiment analysis model that predicts whether a traveller's review is positive or negative. The model uses TF-IDF vectorization and a trained classifier to make predictions.
+
+## How to Use
+
+1. Enter your review in the text box
+2. Click "Analyze Sentiment"
+3. The model will predict whether the review is positive or negative
+
+## Model Details
+
+- Uses TF-IDF vectorization for text preprocessing
+- Trained on movie review data
+- Returns either "Positive Review 😊" or "Negative Review 😞"
+
+## Requirements
+
 All required packages are listed in `requirements.txt`