Update app.py

app.py

@@ -15,6 +15,102 @@ from io import StringIO
 # Configuration
 st.set_page_config(page_title="Data Wizard Pro", layout="wide", page_icon="🧙")
 
+# --- Custom CSS for Futuristic Theme ---
+st.markdown(
+    """
+    <style>
+        body {
+            background-color: #0a0a1a; /* Dark background */
+            color: #e0e0ff; /* Light text */
+            font-family: 'Courier New', monospace; /* Monospace font */
+        }
+        .st-emotion-cache-16idsys {
+            background-color: #1e1e30; /* Darker shades for elements */
+            border-radius: 10px; /* Rounded corners */
+            padding: 1rem;
+            margin-bottom: 1rem;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5); /* Enhanced shadow */
+        }
+        .st-emotion-cache-1v0mbdj {
+            background-color: #1e1e30; /* Darker shades for elements */
+            border-radius: 10px; /* Rounded corners */
+            padding: 1rem;
+            margin-bottom: 1rem;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5); /* Enhanced shadow */
+        }
+        .st-emotion-cache-1wrcr25 {
+            background-color: #1e1e30; /* Darker shades for elements */
+            border-radius: 10px; /* Rounded corners */
+            padding: 1rem;
+            margin-bottom: 1rem;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5); /* Enhanced shadow */
+        }
+        .st-emotion-cache-607q0z, .st-emotion-cache-1v0mbdj, .st-emotion-cache-1v3fvcr, .st-emotion-cache-16idsys{
+            background-color: #1e1e30 !important; /* Darker shades for elements */
+            border-radius: 10px; /* Rounded corners */
+            padding: 1rem !important;
+            margin-bottom: 1rem;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5); /* Enhanced shadow */
+            color: #e0e0ff !important;
+        }
+
+        .st-bb { /* Sidebar */
+            background-color: #141422; /* Dark sidebar background */
+            padding: 20px;
+            border-radius: 10px;
+        }
+        h1, h2, h3, h4, h5, h6, .st-bb {
+            color: #00f7ff; /* Cyan color for headers */
+        }
+        .st-cb, .st-ci, .st-cj, .st-ch { /* Selectbox and Buttons*/
+            background-color: #141422; /* Dark selectbox background */
+            color: #00f7ff !important; /* Cyan text color */
+            border: 1px solid #00f7ff; /* Cyan border */
+        }
+        .st-cv { /* Selectbox text */
+            color: #00f7ff !important; /* Cyan color for headers */
+        }
+
+        .st-cr { /* number input and text input*/
+            background-color: #141422 !important; /* Dark selectbox background */
+            color: #00f7ff !important; /* Cyan text color */
+            border: 1px solid #00f7ff !important; /* Cyan border */
+        }
+
+        .st-cw { /* Slider */
+            background-color: #141422 !important; /* Dark selectbox background */
+            border: 1px solid #00f7ff !important; /* Cyan border */
+        }
+
+        .st-bz, .st-b0{ /* Buttons*/
+            background-color: #141422; /* Darker Button background */
+            color: #00f7ff; /* Cyan text color */
+            border: 1px solid #00f7ff; /* Cyan border */
+            transition: all 0.3s ease; /* Smooth transition */
+        }
+        .st-bz:hover, .st-b0:hover {
+            background-color: #00f7ff; /* Hover color */
+            color: #0a0a1a; /* Hover text color */
+        }
+        .st-ae { /* File uploader*/
+            background-color: #141422 !important; /* Dark selectbox background */
+            color: #00f7ff !important; /* Cyan text color */
+            border: 1px solid #00f7ff !important; /* Cyan border */
+            border-radius: 10px; /* Rounded corners */
+        }
+        .st-emotion-cache-10trblm { /* Metrics*/
+            background-color: #1e1e30 !important; /* Darker shades for elements */
+            border-radius: 10px !important; /* Rounded corners */
+            padding: 1rem !important;
+            margin-bottom: 1rem !important;
+            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5) !important; /* Enhanced shadow */
+        }
+        /* Add more styling for other elements as needed */
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
 # Cache decorators
 @st.cache_data(ttl=3600)
 def load_data(uploaded_file):
@@ -113,6 +209,12 @@ elif app_mode == "Smart Cleaning":
                             df = df.fillna(df.mean())
                         else:
                             df = df.dropna()
+                    elif clean_action == "Remove Duplicates":
+                        df = df.drop_duplicates()
+                    elif clean_action == "Normalize Data":
+                        scaler = RobustScaler()
+                        numerical_cols = df.select_dtypes(include=np.number).columns
+                        df[numerical_cols] = scaler.fit_transform(df[numerical_cols])
                     
                     st.session_state.cleaned_data = df
                     st.success("Transformation applied!")
@@ -146,7 +248,7 @@ elif app_mode == "Advanced EDA":
         with cols[0]:
             x_col = st.selectbox("X Axis", df.columns)
         with cols[1]:
-            y_col = st.selectbox("Y Axis", df.columns) if plot_type in ["Scatter", "Box"] else None
+            y_col = st.selectbox("Y Axis", df.columns) if plot_type in ["Scatter Plot", "Box Plot"] else None
         with cols[2]:
             z_col = st.selectbox("Z Axis", df.columns) if plot_type == "3D Scatter" else None
         
@@ -161,6 +263,8 @@ elif app_mode == "Advanced EDA":
             elif plot_type == "Correlation Heatmap":
                 corr = df.corr()
                 fig = px.imshow(corr, text_auto=True, color_continuous_scale='Viridis')
+            elif plot_type == "Box Plot":
+                fig = px.box(df,x=x_col, y=y_col, color_discrete_sequence=['#00f7ff'])
             
             st.plotly_chart(fig, use_container_width=True)
 
@@ -176,9 +280,7 @@ elif app_mode == "Model Training":
         with col1:
             model_type = st.selectbox("Choose Model", [
                 "Linear Regression",
-                "Decision Tree",
-                "Random Forest",
-                "XGBoost"
+                "Decision Tree"
             ])
             
             test_size = st.slider("Test Size", 0.1, 0.5, 0.2)
@@ -259,4 +361,14 @@ elif app_mode == "Visualization Lab":
         elif viz_type == "Interactive Heatmap":
             corr = df.corr()
             fig = px.imshow(corr, text_auto=True, color_continuous_scale='RdBu')
-            st.plotly_chart(fig, use_container_width=True)
+            st.plotly_chart(fig, use_container_width=True)
+
+        elif viz_type == "Time Series Analysis":
+            # Basic time series plot
+            time_col = st.selectbox("Time Column", df.columns)
+            value_col = st.selectbox("Value Column", df.columns)
+            fig = px.line(df, x=time_col, y=value_col)
+            st.plotly_chart(fig, use_container_width=True)
+        
+        elif viz_type == "Cluster Analysis":
+            st.write("Cluster Analysis Feature Coming Soon!") # placeholder for future development