Update app.py

app.py

@@ -261,66 +261,113 @@ def home_page():
         st.write("Please enter employee details in the sidebar and click 'Submit' to view the performance report.")
     else:
         # After submission, show the report
-        col1, col2 = st.columns(2)
-
-        with col1:
-            st.subheader("Performance Predictions")
-            # Placeholder for performance prediction
-            performance_score = np.random.randint(60, 100)
-            st.metric("Predicted Performance", f"{performance_score}%", "4%")
-
-            # Gauge chart for employee rating
-            fig = go.Figure(go.Indicator(
-                mode="gauge+number",
-                value=performance_score,
-                domain={'x': [0, 1], 'y': [0, 1]},
-                title={'text': "Employee Rating"},
-                gauge={
-                    'axis': {'range': [None, 100]},
-                    'steps': [
-                        {'range': [0, 60], 'color': "lightcoral"},
-                        {'range': [60, 80], 'color': "lightyellow"},
-                        {'range': [80, 100], 'color': "lightgreen"}],
-                    'threshold': {
-                        'line': {'color': "red", 'width': 4},
-                        'thickness': 0.75,
-                        'value': performance_score}}))
-            st.plotly_chart(fig, use_container_width=True)
-
-        with col2:
-            st.subheader("Prediction Insights")
-            st.write(f"Based on the analysis for Employee ID {employee_id}:")
-            st.write(f"- Current performance is {'above' if performance_score > 80 else 'below'} average")
-            st.write(f"- Key area for improvement: {'Training' if performance_score < 80 else 'Project Management'}")
-            st.write(f"- Recommended action: {'Enroll in advanced skills program' if performance_score < 80 else 'Take on leadership role in upcoming project'}")
-
-        st.markdown("<hr>", unsafe_allow_html=True)
-
-        col3, col4 = st.columns(2)
-
-        with col3:
-            st.subheader("Key Factors Influencing Performance")
-            factors = pd.DataFrame({
-                'Factor': ['Experience', 'Training', 'Projects', 'Teamwork'],
-                'Impact': [0.3, 0.25, 0.28, 0.17]
-            })
-            fig = px.bar(factors, x='Impact', y='Factor', orientation='h',
-                         color='Impact', color_continuous_scale='Viridis')
-            fig.update_layout(height=400)
-            st.plotly_chart(fig, use_container_width=True)
-
-        with col4:
+        tab1, tab2 = st.tabs(["Performance Report", "Performance Insights"])
+        
+        with tab1:
+            st.markdown("## Employee Performance Report")
+            st.markdown(f"**Employee Name:** {employee_name}")
+            st.markdown(f"**Employee ID:** {employee_id}")
+            st.markdown(f"**Age:** {employee_age}")
+            st.markdown(f"**Joining Date:** {employee_joining_date}")
+            st.markdown(f"**Last Appraisal Date:** {employee_last_appraisal_date}")
+            st.markdown("---")
+
+            col1, col2 = st.columns(2)
+
+            with col1:
+                performance_score = np.random.randint(60, 100)
+                st.metric("Predicted Performance", f"{performance_score}%", "4%")
+                
+                def create_stylized_gauge_chart(performance_score):
+                    colors = ['#FF4B4B', '#FFA14B', '#FFE74B', '#8DED8E', '#4BFF4B']
+                    
+                    fig = go.Figure(go.Indicator(
+                        mode="gauge+number",
+                        value=performance_score,
+                        domain={'x': [0, 1], 'y': [0, 1]},
+                        title={'text': "Employee Performance", 'font': {'size': 24}},
+                        gauge={
+                            'axis': {'range': [None, 100], 'tickwidth': 1, 'tickcolor': "darkblue"},
+                            'bar': {'color': "darkblue"},
+                            'bgcolor': "white",
+                            'borderwidth': 2,
+                            'bordercolor': "gray",
+                            'steps': [
+                                {'range': [0, 20], 'color': colors[0]},
+                                {'range': [20, 40], 'color': colors[1]},
+                                {'range': [40, 60], 'color': colors[2]},
+                                {'range': [60, 80], 'color': colors[3]},
+                                {'range': [80, 100], 'color': colors[4]}
+                            ],
+                            'threshold': {
+                                'line': {'color': "red", 'width': 4},
+                                'thickness': 0.75,
+                                'value': performance_score
+                            }
+                        }
+                    ))
+                    
+                    fig.update_layout(
+                        font={'color': "darkblue", 'family': "Arial"},
+                        height=300,
+                        width=300,
+                        margin=dict(l=20, r=20, t=30, b=20),
+                        paper_bgcolor="white",
+                        plot_bgcolor='rgba(0,0,0,0)'
+                    )
+                    
+                    return fig
+
+                fig = create_stylized_gauge_chart(performance_score)
+                st.plotly_chart(fig, use_container_width=True)
+
+            with col2:
+                st.subheader("Key Factors Influencing Performance")
+                factors = pd.DataFrame({
+                    'Factor': ['Experience', 'Training', 'Projects', 'Teamwork'],
+                    'Impact': [0.3, 0.25, 0.28, 0.17]
+                })
+                fig = px.bar(factors, x='Impact', y='Factor', orientation='h',
+                             color='Impact', color_continuous_scale='Viridis')
+                fig.update_layout(height=300, margin=dict(l=20, r=20, t=30, b=20))
+                st.plotly_chart(fig, use_container_width=True)
+
+            st.markdown("---")
             st.subheader("Performance Trend")
-            # Placeholder for performance trend
             dates = pd.date_range(start="2023-01-01", end="2023-12-31", freq="M")
             performance = np.random.randint(70, 100, size=len(dates))
             trend_data = pd.DataFrame({"Date": dates, "Performance": performance})
             fig = px.line(trend_data, x="Date", y="Performance", 
                           line_shape="spline", render_mode="svg")
             fig.update_traces(line_color='#1E88E5')
-            fig.update_layout(height=400)
+            fig.update_layout(height=300, margin=dict(l=20, r=20, t=30, b=20))
             st.plotly_chart(fig, use_container_width=True)
 
+        with tab2:
+            st.markdown("## Performance Insights")
+            st.write(f"Based on the analysis for Employee ID {employee_id}:")
+            st.write(f"- Current performance is {'above' if performance_score > 80 else 'below'} average")
+            st.write(f"- Key area for improvement: {'Training' if performance_score < 80 else 'Project Management'}")
+            st.write(f"- Recommended action: {'Enroll in advanced skills program' if performance_score < 80 else 'Take on leadership role in upcoming project'}")
+            
+            st.markdown("### Detailed Analysis")
+            st.write("1. **Performance Trend:**")
+            st.write("   The employee's performance has shown a steady increase over the past year, with notable improvements in the last quarter.")
+            
+            st.write("2. **Strengths:**")
+            st.write("   - Strong project management skills")
+            st.write("   - Excellent team collaboration")
+            st.write("   - High adaptability to new technologies")
+            
+            st.write("3. **Areas for Improvement:**")
+            st.write("   - Time management in high-pressure situations")
+            st.write("   - Technical documentation skills")
+            
+            st.write("4. **Recommendations:**")
+            st.write("   - Enroll in an advanced project management certification course")
+            st.write("   - Assign as a mentor for junior team members to further develop leadership skills")
+            st.write("   - Provide opportunities to lead cross-functional projects")
+
         # Logout button
         if st.button("Logout"):
             st.session_state.login_successful = False
@@ -329,6 +376,7 @@ def home_page():
             st.experimental_rerun()
 
 
+
 # Main app logic
 if st.session_state.current_page == 'login':
     login()