Update app.py

app.py

@@ -138,6 +138,7 @@ st.markdown("""
 
 # Login page
 def login():
+    st.image("performance_nexus_logo.png", use_column_width=True)
     st.markdown('<p class="big-font">Performance Nexus 🎯</p>', unsafe_allow_html=True)
 
     col1, col2, col3 = st.columns([1, 2, 1])
@@ -225,8 +226,6 @@ def reset_password_page():
                 st.error("Enter new password and confirm password.")
             elif new_password != re_password:
                 st.error("Passwords do not match. Please re-enter.")
-            elif len(new_password) <= 3:
-                st.error("Password too short")
             else:
                 reset_password(username, new_password)
                 st.success("Password reset successful. You can now login with your new password.")
@@ -241,23 +240,17 @@ def reset_password_page():
             st.session_state.current_page = 'login'
             st.experimental_rerun()
 
-rotating_images = ["homepageimage1.webp", "homepageimage2.webp", "homepageimage3.png"]
-
+# Home page
 def home_page():
-    st.markdown('<p style="color: #1E88E5; font-size: 24px; font-weight: bold; text-align: center;">'
-                f'Welcome to the Performance Nexus Dashboard, {st.session_state.username}!</p>',
-                unsafe_allow_html=True)
+    st.markdown('<p class="big-font">Welcome to the Performance Nexus Dashboard, {st.session_state.username}!</p>', unsafe_allow_html=True)
 
-    # Display rotating images
-    for image_path in rotating_images:
-        st.image(image_path, use_column_width=True)
-        st.markdown("<br>", unsafe_allow_html=True)
-        st.markdown("<hr>", unsafe_allow_html=True)
+    st.image("homepageimage.png", use_column_width=True)
+    st.markdown("<hr>", unsafe_allow_html=True)
 
     # Sidebar for user input
     st.sidebar.header("Input Parameters")
     employee_name = st.sidebar.text_input("Employee Name", "")
-    employee_id = st.sidebar.number_input("Employee ID", min_value=1, max_value=1000, value=1)
+    employee_id = st.sidebar.text_input("Employee ID", "")
     employee_age = st.sidebar.number_input("Employee Age", min_value=18, max_value=100, value=25)
     employee_joining_date = st.sidebar.date_input("Employee Joining Date", datetime.date.today())
     employee_last_appraisal_date = st.sidebar.date_input("Last Appraisal Date", datetime.date.today())
@@ -269,49 +262,48 @@ def home_page():
 
     # Main dashboard area
     if st.session_state.get('submitted', False):
-        col1, col2 = st.columns(2)
-
-        with col1:
-            st.subheader("Employee Performance Score")
-            # Placeholder for performance prediction
-            performance_score = np.random.randint(60, 100)
-            st.metric("Predicted Performance", f"{performance_score}%", "4%")
-            
-            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')
-            st.plotly_chart(fig)
-
-        with col2:
-            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")
-            st.plotly_chart(fig)
-
-            # Gauge chart for employee rating
-            st.subheader("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': "lightgray"},
-                        {'range': [60, 80], 'color': "gray"},
-                        {'range': [80, 100], 'color': "green"}],
-                    'threshold' : {
-                        'line': {'color': "red", 'width': 4},
-                        'thickness': 0.75,
-                        'value': performance_score}}))
-            st.plotly_chart(fig)
+        st.markdown("<br>", unsafe_allow_html=True)
+        st.markdown("<hr>", unsafe_allow_html=True)
+
+        st.subheader("Employee Performance Score")
+        # Placeholder for performance prediction
+        performance_score = np.random.randint(60, 100)
+        st.metric("Predicted Performance", f"{performance_score}%", "4%")
+
+        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')
+        st.plotly_chart(fig, use_container_width=True)
+
+        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")
+        st.plotly_chart(fig, use_container_width=True)
+
+        # Gauge chart for employee rating
+        st.subheader("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': "lightgray"},
+                    {'range': [60, 80], 'color': "gray"},
+                    {'range': [80, 100], 'color': "green"}],
+                'threshold': {
+                    'line': {'color': "red", 'width': 4},
+                    'thickness': 0.75,
+                    'value': performance_score}}))
+        st.plotly_chart(fig, use_container_width=True)
 
         # Additional insights
         st.subheader("Performance Insights")
@@ -328,9 +320,6 @@ def home_page():
             st.experimental_rerun()
 
 # Main app logic
-if 'current_page' not in st.session_state:
-    st.session_state.current_page = 'login'
-
 if st.session_state.current_page == 'login':
     login()
 elif st.session_state.current_page == 'sign_up':