Update app.py

app.py

@@ -1,166 +1,153 @@
-import streamlit as st
-import pandas as pd
-import io
-
-def calculate_attendance(total_days, absent_hours):
-    total_hours = total_days * 5  # Each day has 5 hours
-    present_hours = total_hours - absent_hours
-    present_percentage = (present_hours / total_hours) * 100
-    
-    if present_percentage >= 74:
-        exam_status = "Eligible to write the exam"
-    elif 65 <= present_percentage <= 75:
-        exam_status = "Should pay fine to write the exam"
-    elif 50 <= present_percentage < 65:
-        exam_status = "Not eligible to write the exam"
-    else:
-        exam_status = "Redo"
-    
-    # Round to two decimal places
-    present_percentage = round(present_percentage, 2)
-    
-    return present_percentage, present_hours, exam_status
-
-# Initialize session state for calculator mode
-if "calculator_mode" not in st.session_state:
-    st.session_state.calculator_mode = "normal"
-
-st.set_page_config(
-    page_icon="🧮",
-    page_title="Student Attendance Calculator",
-    layout="centered"
-)
-
-# Custom CSS for styling
-st.markdown("""
-    <style>
-    .css-1d391kg {text-align: center;}
-    .stButton>button {background-color: #87CEFA; color: black; padding: 10px; border-radius: 10px; font-weight: bold;}
-    .stFileUploader {text-align: center;}
-    .uploadedFile {color: green;}
-    .stDownloadButton>button {background-color: #4682B4; color: white; padding: 10px; border-radius: 10px; font-weight: bold;}
-    .stNumberInput>div>div>input {border-radius: 5px;}
-    </style>
-    """, unsafe_allow_html=True)
-
-st.title("📘 Student Attendance Calculator")
-st.markdown("______")
-
-with st.container():
-    col1, col2 = st.columns(2)
-    with col1:
-        if st.button("Normal Calculator"):
-            st.session_state.calculator_mode = "normal"
-    with col2:
-        if st.button("Excel Calculator"):
-            st.session_state.calculator_mode = "excel"
-
-# Display the appropriate calculator based on session state
-if st.session_state.calculator_mode == "normal":
-    with st.container():
-        st.subheader("Enter Details Below")
-        col1, col2 = st.columns(2)
-        with col1:
-            total_days = st.number_input("Total Working Days", min_value=1, max_value=365, value=5)
-        with col2:
-            absent_hours = st.number_input("Absent Hours of the Student", min_value=0, step=1)
-    
-    if st.button("Calculate Attendance"):
-        present_percentage, present_hours, exam_status = calculate_attendance(total_days, absent_hours)
-        
-        st.write(f"✅ **Present Percentage**: {present_percentage:.2f}%")
-        st.write(f"✅ **Present Hours**: {present_hours}")
-        st.write(f"📢 **Exam Status**: {exam_status}")
-
-elif st.session_state.calculator_mode == "excel":
-    st.subheader("Upload an Excel or CSV File")
-    st.write("""Your file should contain "Student Name" and their "Absent Hours" as columns.""")
-
-    with st.container():
-        uploaded_file = st.file_uploader("Upload File", type=["csv", "xlsx"])
-
-    if uploaded_file:
-        try:
-            # Read the file correctly
-            if uploaded_file.name.endswith(".csv"):
-                df = pd.read_csv(uploaded_file)
-            else:
-                df = pd.read_excel(uploaded_file, engine='openpyxl')
-
-            # Ensure required columns exist
-            required_columns = {"Student Name", "Absent Hours"}
-            if not required_columns.issubset(df.columns):
-                st.error(f"Error: The uploaded file must contain the following columns: {required_columns}")
-            else:
-                with st.container():
-                    total_days = st.number_input("Enter Total Days", min_value=1, step=1)
-
-                if st.button("Process File"):
-                    # Calculate attendance details
-                    df["Total Hours"] = total_days * 5
-                    df["Present Hours"] = df["Total Hours"] - df["Absent Hours"]
-                    df["Present Percentage"] = (df["Present Hours"] / df["Total Hours"]) * 100
-                    df["Exam Status"] = df["Present Percentage"].apply(
-                        lambda x: "Eligible" if x >= 74 else "Fine Required" if x >= 65 else "Arrear" if x >= 50 else "Redo"
-                    )
-
-                    # Round to two decimal places
-                    df["Present Percentage"] = df["Present Percentage"].round(2)
-
-                    # Calculate class present percentage
-                    class_present_percentage = df["Present Percentage"].mean()
-
-                    # Display results in Streamlit
-                    st.write("✅ **File Processed Successfully!**")
-                    st.write(f"📊 **Class Present Percentage:** {class_present_percentage:.2f}%")
-                    st.dataframe(df)
-
-                    # Convert DataFrame to Excel for download
-                    output = io.BytesIO()
-                    with pd.ExcelWriter(output, engine='openpyxl') as writer:
-                        df.to_excel(writer, index=False, sheet_name="Attendance")
-
-                        # Access workbook and worksheet
-                        workbook = writer.book
-                        worksheet = writer.sheets["Attendance"]
-
-                        # Add summary row at the bottom
-                        row_num = len(df) + 2
-                        worksheet.cell(row=row_num, column=1, value="Class Present Percentage")
-                        worksheet.cell(row=row_num, column=2, value=class_present_percentage)
-
-                        # Save and close writer
-                        writer.close()
-                        processed_data = output.getvalue()
-
-                    # Download button for processed Excel file
-                    st.download_button(
-                        "Download Processed File",
-                        data=processed_data,
-                        file_name="processed_attendance.xlsx",
-                        mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
-                    )
-        except Exception as e:
-            st.error(f"⚠️ Error processing file: {e}")
-
-# Footer
-footer_html = """
-    <style>
-        .footer {
-            position: fixed;
-            bottom: 0;
-            left: 0;
-            width: 100%;
-            background-color: #f1f1f1;
-            text-align: center;
-            padding: 10px;
-            font-size: 14px;
-            color: #333;
-        }
-    </style>
-    <div class="footer">
-       Made By balafromtn 😉
-    </div>
-"""
-
+import streamlit as st
+import pandas as pd
+import io
+
+def calculate_attendance(total_days, absent_hours):
+    total_hours = total_days * 5  # Each day has 5 hours
+    present_hours = total_hours - absent_hours
+    present_percentage = (present_hours / total_hours) * 100
+    
+    if present_percentage >= 74:
+        exam_status = "Eligible to write the exam"
+    elif 65 <= present_percentage <= 75:
+        exam_status = "Should pay fine to write the exam"
+    elif 50 <= present_percentage < 65:
+        exam_status = "Not eligible to write the exam"
+    else:
+        exam_status = "Redo"
+    
+    # Round to two decimal places
+    present_percentage = round(present_percentage, 2)
+    
+    return present_percentage, present_hours, exam_status
+
+# Initialize session state for calculator mode
+if "calculator_mode" not in st.session_state:
+    st.session_state.calculator_mode = "normal"
+
+st.set_page_config(
+    page_icon="🧮",
+    page_title="Student Attendance Calculator",
+    layout="centered"
+)
+
+# Custom CSS for styling
+st.markdown("""
+    <style>
+    .css-1d391kg {text-align: center;}
+    .stButton>button {background-color: #87CEFA; color: black; padding: 10px; border-radius: 10px; font-weight: bold;}
+    .stFileUploader {text-align: center;}
+    .uploadedFile {color: green;}
+    .stDownloadButton>button {background-color: #4682B4; color: white; padding: 10px; border-radius: 10px; font-weight: bold;}
+    .stNumberInput>div>div>input {border-radius: 5px;}
+    </style>
+    """, unsafe_allow_html=True)
+
+st.title("📘 Student Attendance Calculator")
+st.markdown("______")
+
+with st.container():
+    col1, col2 = st.columns(2)
+    with col1:
+        if st.button("Normal Calculator"):
+            st.session_state.calculator_mode = "normal"
+    with col2:
+        if st.button("Excel Calculator"):
+            st.session_state.calculator_mode = "excel"
+
+# Display the appropriate calculator based on session state
+if st.session_state.calculator_mode == "normal":
+    with st.container():
+        st.subheader("Enter Details Below")
+        col1, col2 = st.columns(2)
+        with col1:
+            total_days = st.number_input("Total Working Days", min_value=1, max_value=365, value=5)
+        with col2:
+            absent_hours = st.number_input("Absent Hours of the Student", min_value=0, step=1)
+    
+    if st.button("Calculate Attendance"):
+        present_percentage, present_hours, exam_status = calculate_attendance(total_days, absent_hours)
+        
+        st.write(f"✅ **Present Percentage**: {present_percentage:.2f}%")
+        st.write(f"✅ **Present Hours**: {present_hours}")
+        st.write(f"📢 **Exam Status**: {exam_status}")
+
+elif st.session_state.calculator_mode == "excel":
+    st.subheader("Upload an Excel or CSV File")
+    st.write("""Your file should contain "Student Name" and their "Absent Hours" as columns.""")
+
+    with st.container():
+        uploaded_file = st.file_uploader("Upload File", type=["csv", "xlsx"])
+
+    if uploaded_file:
+        try:
+            # Read the file correctly
+            if uploaded_file.name.endswith(".csv"):
+                df = pd.read_csv(uploaded_file)
+            else:
+                df = pd.read_excel(uploaded_file, engine='openpyxl')
+
+            # Ensure required columns exist
+            required_columns = {"Student Name", "Absent Hours"}
+            if not required_columns.issubset(df.columns):
+                st.error(f"Error: The uploaded file must contain the following columns: {required_columns}")
+            else:
+                with st.container():
+                    total_days = st.number_input("Enter Total Days", min_value=1, step=1)
+
+                if st.button("Process File"):
+                    # Calculate attendance details
+                    df["Total Hours"] = total_days * 5
+                    df["Present Hours"] = df["Total Hours"] - df["Absent Hours"]
+                    df["Present Percentage"] = (df["Present Hours"] / df["Total Hours"]) * 100
+                    df["Exam Status"] = df["Present Percentage"].apply(
+                        lambda x: "Eligible" if x >= 74 else "Fine Required" if x >= 65 else "Arrear" if x >= 50 else "Redo"
+                    )
+
+                    # Round to two decimal places
+                    df["Present Percentage"] = df["Present Percentage"].round(2)
+
+                    # Calculate class present percentage
+                    class_present_percentage = df["Present Percentage"].mean()
+
+                    # Display results in Streamlit
+                    st.write("✅ **File Processed Successfully!**")
+                    st.write(f"📊 **Class Present Percentage:** {class_present_percentage:.2f}%")
+                    st.dataframe(df)
+
+                    # Convert DataFrame to Excel for download
+                    output = io.BytesIO()
+                    with pd.ExcelWriter(output, engine='openpyxl') as writer:
+                        df.to_excel(writer, index=False, sheet_name="Attendance")
+
+                        # Access workbook and worksheet
+                        workbook = writer.book
+                        worksheet = writer.sheets["Attendance"]
+
+                        # Add summary row at the bottom
+                        row_num = len(df) + 2
+                        worksheet.cell(row=row_num, column=1, value="Class Present Percentage")
+                        worksheet.cell(row=row_num, column=2, value=class_present_percentage)
+
+                        # Save and close writer
+                        writer.close()
+                        processed_data = output.getvalue()
+
+                    # Download button for processed Excel file
+                    st.download_button(
+                        "Download Processed File",
+                        data=processed_data,
+                        file_name="processed_attendance.xlsx",
+                        mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+                    )
+        except Exception as e:
+            st.error(f"⚠️ Error processing file: {e}")
+
+# Footer
+footer_html = """
+    <div class="footer">
+       Made By balafromtn 😉
+    </div>
+"""
+
 st.markdown(footer_html, unsafe_allow_html=True)