Descritpion bug fix

Fixed some Description error's

app.py

@@ -43,40 +43,40 @@ demo = gr.Interface(
         [4000,1900,2,3,2],
         [28000,3000,5,3,3],
     ],
-    title="**Indian House Price Prediction Model**",
-    description='''"""
+    title="Indian House Price Prediction Model",
+    description="""
 
 
-*Overview:*
+***Overview:***
 This model predicts house prices in India using Linear Regression. Trained on key features like lot area, living area, bedrooms, bathrooms, and floors, it estimates house prices based on historical data.
 
-🚀*Features:*
+***🚀Features:***
 - Lot Area
 - Living Area
 - Bedrooms
 - Bathrooms
 - Floors
 
-⚒*How it works:*
+***⚒How it works:***
 Linear Regression analyzes the relationship between input features and house prices, establishing a linear equation for predictions.
 
-📝*Usage:*
+***📝Usage:***
 1. Input specific values for lot area, living area, bedrooms, bathrooms, and floors.
 2. Get an estimated house price based on the learned linear relationship.
 
-📳*Application:*
+***📳Application:***
 Useful for individuals in the Indian real estate market to gauge approximate house prices. Ideal for property buyers, sellers, and real estate professionals for informed decision-making.
 
-📊*Disclaimer:*
+***📊Disclaimer:***
 This model provides estimations. Actual house prices may vary due to unconsidered factors. Consult real estate experts for precise valuations.
 
-🤗*Demo Info:*
+***🤗Demo Info:***
 - Mean Absolute Error (MAE): 0.11
 - The Output of the Model depends on the DataSet
 - For demo and learning purposes only.
 
-♥Feel free to explore and understand how key features influence house prices in India.♥
-"""'''
+***♥Feel free to explore and understand how key features influence house prices in India.♥***
+"""
     )
 
 if __name__ == "__main__":