Update app.py

app.py

@@ -1,48 +1,55 @@
-
-# Hours Studied	Previous Scores	Extracurricular Activities	Sleep Hours	Sample Question Papers Practiced	Performance Index\
-
 import numpy as np
 import joblib
 import streamlit as st
 
-
-
 # Load the trained model
 model = joblib.load("student_performance_model.h5")
 
-def predict_marks(Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question):
-    "predict the student marks based on the input data"
-    input_data = np.array([[Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question]])
-    prediction= model.predict(input_data)
-    return round(float(prediction),2)
+def predict_marks(Hours_studied, Previous_Score, Extracurriculum_Activivities, Sleep_Hours, Sample_Question):
+    "Predict the student marks based on the input data"
+    input_data = np.array([[Hours_studied, Previous_Score, Extracurriculum_Activivities, Sleep_Hours, Sample_Question]])
+    prediction = model.predict(input_data)
+    return round(float(prediction), 2)
 
 def main():
-    st.title("Student Marks Predictor")
-
-    #Input data
-    name = st.text_input("Enter your name")
-    Hours_studied = st.number_input("Enter the number of Hours you Studied", min_value=0.0,max_value=20.0,value=0.0)
-    Previous_Score = st.number_input("Enter your Previous exam Score", min_value=0,max_value=100,value=0)
-    Extracurriculum_Activivities = st.number_input("Enter the number extracurriculum activities you have done",min_value=0,max_value=10,value=0)
-    Sleep_Hours = st.number_input("Enter the number of hours you slept",min_value=0.0,max_value=12.0,value=0.0)
-    Sample_Question = st.number_input("Enter the number of Sample Question you have practiced",min_value=0,max_value=50,value=0)
-
-    # predict
-    st.sidebar.write(f"# hi {name}")
-    st.sidebar.write("##### i am a helpful students marks predictor here to assist you in predicting your marks")
-    if st.button("Predict"):
-        prediction = predict_marks(Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question)
+    # Sidebar Welcome Note with Emojis
+    st.sidebar.title("🎉 Welcome to the Marks Oracle! 🎉")
+    st.sidebar.write("""
+    **Prepare to be amazed** as this super-genius AI predicts your future marks with the accuracy of a caffeinated fortune cookie. 
+    Just enter how much you've studied (or napped 😴), and let the magic happen! 
 
-        # Display the predictions
-        if prediction >=90:
-            st.success(f"{name} You have a high chances of passing with the the exceptional marks of {prediction} marks keep it up")
-        elif prediction >=35:
-            st.success(f"{name} You have chances of Passing with {prediction} marks try to get 90+")
-        else:
-            st.error(f"{name} You have a very high chances of failing")    
+    Remember, this AI never sleeps... but you should! 😉
+    """)
 
+    st.sidebar.markdown("---")
 
+    st.title("📚 Student Marks Predictor 📊")
 
+    # Input data
+    name = st.text_input("👤 Enter your name")
+    Hours_studied = st.number_input("📖 Hours you studied", min_value=0.0, max_value=20.0, value=0.0)
+    Previous_Score = st.number_input("📊 Previous exam score", min_value=0, max_value=100, value=0)
+    Extracurriculum_Activivities = st.number_input("🎭 Extracurricular activities done", min_value=0, max_value=10, value=0)
+    Sleep_Hours = st.number_input("😴 Hours you slept", min_value=0.0, max_value=12.0, value=0.0)
+    Sample_Question = st.number_input("✍️ Sample questions practiced", min_value=0, max_value=50, value=0)
+
+    # Sidebar interaction
+    if name:
+        st.sidebar.write(f"### Welcome, **{name}**! 👋")
+        st.sidebar.write("#### Let's check your upcoming marks by entering your details below.")
+
+    # Predict button
+    if st.button("🔮 Predict Your Marks"):
+        prediction = predict_marks(Hours_studied, Previous_Score, Extracurriculum_Activivities, Sleep_Hours, Sample_Question)
+
+        # Display the predictions
+        if prediction >= 90:
+            st.balloons()
+            st.success(f"🌟 **{name}, amazing!** You're on track to score {prediction} marks! Keep up the excellent work! 💪")
+        elif prediction >= 35:
+            st.warning(f"⚠️ **{name}, not bad!** You're likely to pass with {prediction} marks, but there's room to aim higher! 🚀")
+        else:
+            st.error(f"🚨 **{name}, oh no!** You might score below 35 marks. Consider putting in some more effort! 📚")
 
-if __name__=="__main__":
-    main()      
+if __name__ == "__main__":
+    main()