Update app.py

app.py

@@ -12,10 +12,10 @@ from sklearn.linear_model import LogisticRegression
 from sklearn.neighbors import KNeighborsClassifier
 
 # Set dark theme and page config
-st.set_page_config(page_title="Cancer Prediction", page_icon="🎗️", layout="centered")
+st.set_page_config(page_title="Cancer Prediction", page_icon="🩺", layout="centered")
 st.markdown("""
     <style>
-    body { background-color: #ff4b4b; color: white; }
+    body { background-color: #121212; color: white; }
     .stButton>button { background-color: #ff4b4b; color: white; }
     .stSelectbox, .stRadio, .stNumberInput, .stSlider { color: white; }
     </style>
@@ -64,7 +64,6 @@ def train_model(X_train, y_train, preprocess, model_name):
         'Logistic Regression': LogisticRegression(),
         'KNN': KNeighborsClassifier()
     }
-    
     model = models[model_name]
     pipeline = Pipeline([
         ('preprocessor', preprocess),
@@ -105,7 +104,7 @@ family_history = st.radio("Family History", ['No', 'Yes'])
 input_data = [[age, tumor_size, tumor_grade, symptoms_severity, smoking_history, 
                alcohol_consumption, exercise_frequency, gender, family_history]]
 
-if st.button("🔮Predict Cancer Presence"):
+if st.button("🔮 Predict Cancer Presence"):
     if 'trained_model' in st.session_state:
         model = st.session_state['trained_model']
         input_df = pd.DataFrame(input_data, columns=X_train.columns)
@@ -114,5 +113,4 @@ if st.button("🔮Predict Cancer Presence"):
         
         st.write("Cancer Prediction:", "✅ Positive" if prediction[0] == 1 else "❌ Negative")
     else:
-        st.error("Please train a model first!")
-        
+        st.error("Please train a model first!")