Update app.py

app.py

@@ -1,209 +1,49 @@
-# # Smart Study Planner - FIXED VERSION
-
-# import streamlit as st
-# import numpy as np
-# import pandas as pd
-
-# # -------------------------------
-# # PAGE CONFIG
-# # -------------------------------
-# st.set_page_config(page_title="Smart Study Planner", page_icon="📚", layout="centered")
-
-# st.title("📚 Smart Study Planner with Performance Prediction")
-# st.markdown("Track your study progress and predict performance smartly 🚀")
-
-# # -------------------------------
-# # OOP CLASSES
-# # -------------------------------
-
-# class Subject:
-#     def __init__(self, name, hours, marks):
-#         self.name = name
-#         self.hours = hours
-#         self.marks = marks
-
-
-# class Student:
-#     def __init__(self, name):
-#         self.name = name
-#         self.subjects = []
-
-#     def add_subject(self, subject):
-#         self.subjects.append(subject)
-
-#     def get_dataframe(self):
-#         return pd.DataFrame({
-#             "Subject": [s.name for s in self.subjects],
-#             "Study Hours": [s.hours for s in self.subjects],
-#             "Marks": [s.marks for s in self.subjects]
-#         })
-
-#     def calculate_average(self):
-#         marks = [s.marks for s in self.subjects]
-#         return np.mean(marks) if marks else 0
-
-#     def get_max_min(self):
-#         marks = [s.marks for s in self.subjects]
-#         return np.max(marks), np.min(marks)
-
-#     def performance_trend(self):
-#         hours = [s.hours for s in self.subjects]
-#         marks = [s.marks for s in self.subjects]
-
-#         if len(hours) > 1:
-#             return np.corrcoef(hours, marks)[0][1]
-#         return 0
-
-#     def predict_performance(self):
-#         trend = self.performance_trend()
-#         predicted = []
-
-#         for s in self.subjects:
-#             boost = (2 * 4) + (trend * 5)  # smart logic
-#             predicted.append(min(s.marks + boost, 100))
-
-#         return np.mean(predicted) if predicted else 0
-
-#     def get_grade(self, marks):
-#         if marks >= 85:
-#             return "A"
-#         elif marks >= 70:
-#             return "B"
-#         elif marks >= 55:
-#             return "C"
-#         elif marks >= 40:
-#             return "D"
-#         return "F"
-
-#     def best_subject(self):
-#         return max(self.subjects, key=lambda x: x.marks).name
-
-#     def weak_subject(self):
-#         return min(self.subjects, key=lambda x: x.marks).name
-
-#     def suggest_improvement(self):
-#         return f"Focus more on {self.weak_subject()} and increase study time by 2 hours."
-
-
-# # -------------------------------
-# # SESSION STATE FIX (IMPORTANT)
-# # -------------------------------
-
-# if "student" not in st.session_state:
-#     st.session_state.student = None
-
-# if "student_name" not in st.session_state:
-#     st.session_state.student_name = ""
-
-# # -------------------------------
-# # INPUT UI
-# # -------------------------------
-
-# st.subheader("👤 Student Information")
-
-# name = st.text_input("Enter Student Name", value=st.session_state.student_name)
-
-# if name:
-#     st.session_state.student_name = name
-
-#     # FIX: only create once
-#     if st.session_state.student is None:
-#         st.session_state.student = Student(name)
-
-
-# st.subheader("📘 Add Subject")
-
-# col1, col2, col3 = st.columns(3)
-
-# with col1:
-#     subject_name = st.text_input("Subject")
-
-# with col2:
-#     hours = st.number_input("Study Hours", min_value=0.0, step=0.5)
-
-# with col3:
-#     marks = st.number_input("Marks", min_value=0, max_value=100)
-
-# # -------------------------------
-# # ADD SUBJECT
-# # -------------------------------
-
-# if st.button("➕ Add Subject"):
-#     if not subject_name:
-#         st.error("Please enter subject name")
-#     elif st.session_state.student is None:
-#         st.error("Please enter student name first")
-#     else:
-#         sub = Subject(subject_name, hours, marks)
-#         st.session_state.student.add_subject(sub)
-#         st.success(f"{subject_name} added successfully!")
-
-# # -------------------------------
-# # ANALYSIS
-# # -------------------------------
-
-# st.markdown("---")
-
-# if st.button("📊 Analyze Performance"):
-
-#     student = st.session_state.student
-
-#     if student is None or len(student.subjects) == 0:
-#         st.error("Please add subjects first!")
-#     else:
-#         df = student.get_dataframe()
-
-#         st.subheader("📋 Performance Table")
-#         st.dataframe(df, use_container_width=True)
-
-#         avg = student.calculate_average()
-#         max_m, min_m = student.get_max_min()
-#         grade = student.get_grade(avg)
-#         predicted = student.predict_performance()
-#         predicted_grade = student.get_grade(predicted)
-
-#         # ---------------- METRICS ----------------
-#         col1, col2, col3 = st.columns(3)
-
-#         col1.metric("Average Marks", f"{avg:.2f}")
-#         col2.metric("Highest Marks", max_m)
-#         col3.metric("Lowest Marks", min_m)
-
-#         # ---------------- PROGRESS BAR ----------------
-#         st.subheader("📈 Performance Progress")
-#         st.progress(int(avg))
-
-#         st.write(f"🎯 Current Grade: **{grade}**")
-
-#         # ---------------- PREDICTION ----------------
-#         st.subheader("🔮 Smart Prediction")
-
-#         st.success(f"Expected Marks (if improved): {predicted:.2f}")
-#         st.success(f"Predicted Grade: {predicted_grade}")
-
-#         # ---------------- INSIGHTS ----------------
-#         st.subheader("📌 Insights")
-
-#         st.write(f"🏆 Best Subject: **{student.best_subject()}**")
-#         st.write(f"⚠ Weak Subject: **{student.weak_subject()}**")
-
-#         st.info(student.suggest_improvement())
-
-#         # ---------------- CHART ----------------
-#         st.subheader("📉 Study vs Performance Trend")
-#         st.line_chart(df.set_index("Subject"))
-# Smart Study Planner - FINAL VERSION
-# Smart Study Planner - FINAL STABLE VERSION
-
-import streamlit as st
+mport streamlit as st
 import numpy as np
 import pandas as pd
-
 # -------------------------------
 # PAGE CONFIG
 # -------------------------------
 st.set_page_config(page_title="Smart Study Planner", page_icon="📚", layout="centered")
 
+# -------------------------------
+# CUSTOM CSS (UI DESIGN)
+# -------------------------------
+st.markdown("""
+<style>
+/* Background */
+.stApp {
+    background: linear-gradient(to right, #e0f7fa, #e1bee7);
+}
+
+/* Headings */
+h1, h2, h3 {
+    color: #4b0082;
+    text-align: center;
+}
+
+/* Buttons */
+.stButton>button {
+    background-color: #6c63ff;
+    color: white;
+    border-radius: 10px;
+    height: 3em;
+    width: 100%;
+    font-size: 16px;
+    font-weight: bold;
+}
+
+/* Dataframe */
+.css-1d391kg {
+    border-radius: 10px;
+}
+
+/* Input boxes */
+input {
+    border-radius: 8px !important;
+}
+</style>
+""", unsafe_allow_html=True)
 st.title("📚 Smart Study Planner with Smart Prediction")
 st.markdown("Analyze your study habits and improve performance 🚀")