Create app.py

app.py

@@ -0,0 +1,49 @@
+import streamlit as st
+import pandas as pd
+
+# Predefined weightages from bottom to top
+weightages = [5, 5, 10, 15, 15, 50]
+quiz_labels = ["Quiz 1", "Quiz 2", "Quiz 3", "Quiz 4", "Quiz 5", "Grand Quiz"]
+
+st.set_page_config(page_title="Quiz Marks Calculator", layout="centered")
+
+st.title("🎯 Hacking Page – Quiz Marks Weighted Percentage Calculator")
+st.markdown("Enter your marks below for each quiz. The final result will be calculated based on predefined weightages.")
+
+marks_obtained = []
+total_marks = []
+
+# Input section
+for i in range(6):
+    col1, col2 = st.columns(2)
+    with col1:
+        obtained = st.number_input(f"{quiz_labels[i]} - Marks Obtained", min_value=0.0, step=1.0, key=f"obtained_{i}")
+    with col2:
+        total = st.number_input(f"{quiz_labels[i]} - Total Marks", min_value=1.0, step=1.0, key=f"total_{i}")
+    marks_obtained.append(obtained)
+    total_marks.append(total)
+
+if st.button("Calculate Percentage"):
+    data = []
+    total_weighted_percentage = 0
+
+    for i in range(6):
+        percentage = (marks_obtained[i] / total_marks[i]) * 100 if total_marks[i] != 0 else 0
+        weighted = percentage * (weightages[i] / 100)
+        total_weighted_percentage += weighted
+        data.append({
+            "Quiz": quiz_labels[i],
+            "Marks Obtained": marks_obtained[i],
+            "Total Marks": total_marks[i],
+            "Weightage (%)": weightages[i],
+            "Section %": round(percentage, 2),
+            "Contribution (%)": round(weighted, 2)
+        })
+
+    df = pd.DataFrame(data)
+    df.set_index("Quiz", inplace=True)
+
+    st.markdown("### 📊 Results Table")
+    st.dataframe(df)
+
+    st.success(f"✅ Final Weighted Percentage: **{total_weighted_percentage:.2f}%**")