Update app.py

app.py

@@ -41,26 +41,6 @@ def provide_observed_advice(data):
             "Low engagement in extracurricular activities detected. Consider joining clubs, sports, or creative groups that interest you. Participating in such activities can enhance your social connections, improve self-esteem, and provide a healthy outlet for stress."
         )
 
-    if data['academic_performance'] < 5:
-        advice.append(
-            "Low academic performance detected. Break study tasks into smaller, achievable goals, and create a distraction-free study environment. Seek help from teachers, peers, or online resources for difficult topics. Time management strategies can also help you stay on track."
-        )
-
-    if data['bullying'] > 7:
-        advice.append(
-            "Bullying is a serious issue that can affect mental health. Talk to a trusted adult, teacher, or counselor about your experience. Build a support network with friends and consider attending therapy sessions to regain confidence and develop coping mechanisms."
-        )
-
-    if data['sleep_quality'] < 5:
-        advice.append(
-            "Poor sleep quality detected. Establish a consistent bedtime routine and avoid screens before sleep. Create a calm sleeping environment and consider relaxation techniques like meditation or reading before bed."
-        )
-
-    if data['basic_needs'] < 5:
-        advice.append(
-            "Unmet basic needs detected. Address your primary needs by seeking help from local resources or organizations. Focus on creating a stable environment and prioritize your physical and emotional well-being."
-        )
-
     return advice
 
 def fetch_mental_health_articles():
@@ -74,12 +54,37 @@ def fetch_mental_health_articles():
         return []
 
 def main():
-    st.set_page_config(page_title="Student Health Advisory Assistant", layout="wide")
-    st.title("🔍 Analyze Your Well-being")
-
+    # Set page config for a professional look
+    st.set_page_config(
+        page_title="Student Well-being Advisor",
+        page_icon="📊",
+        layout="wide",
+        initial_sidebar_state="expanded",
+    )
+
+    # Sidebar
+    st.sidebar.title("Navigation")
+    st.sidebar.write("Use the sidebar to navigate through the app.")
+    st.sidebar.markdown("### 📂 Upload Data")
+    st.sidebar.write("Start by uploading your dataset for analysis.")
+    st.sidebar.markdown("### 📊 Analysis & Advice")
+    st.sidebar.write("Get detailed insights and personalized advice.")
+
+    # Main Content
+    st.title("🎓 Student Well-being Advisor")
+    st.subheader("Analyze data and provide professional mental health recommendations.")
+    st.write(
+        """
+        This app helps identify areas of concern in students' well-being and provides personalized advice based on their responses.
+        """
+    )
+
+    # File Upload
+    st.markdown("## 📂 Upload Your Dataset")
     uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"])
     if uploaded_file:
         df = load_data(uploaded_file)
+        st.success("Dataset uploaded successfully!")
         st.write("### Dataset Preview:")
         st.dataframe(df.head())
 
@@ -102,39 +107,52 @@ def main():
                 st.warning("The dataset contains missing values. Rows with missing values will be skipped.")
                 df = df.dropna()
 
-            st.markdown("### Select a Row for Analysis")
-            selected_row = st.selectbox(
-                "Select a row (based on index) to analyze:",
-                options=df.index,
-                format_func=lambda x: f"Row {x} - Stress Level: {df.loc[x, 'stress_level']}, Anxiety: {df.loc[x, 'anxiety_level']} (Depression: {df.loc[x, 'depression']})",
-            )
-
-            # Extract data for the selected row
-            row_data = df.loc[selected_row].to_dict()
-
-            # Show extracted details
-            st.write("### Selected User Details:")
-            st.json(row_data)
-
-            # Generate advice
-            st.subheader("🔔 Health Advice Based on Observations")
-            advice = provide_observed_advice(row_data)
-            if advice:
-                for i, tip in enumerate(advice, 1):
-                    st.write(f"📌 **{i}.** {tip}")
-            else:
-                st.warning("No specific advice available based on this user's data.")
-
-            # Fetch and display mental health articles
-            st.subheader("📰 Mental Health Resources")
-            articles = fetch_mental_health_articles()
-            if articles:
-                for article in articles:
-                    st.write(f"**{article['title']}**")
-                    st.write(f"{article['description']}")
-                    st.write(f"[Read more]({article['url']})")
-            else:
-                st.write("No articles available at the moment.")
+            # Tabs for better organization
+            tab1, tab2, tab3 = st.tabs(["🏠 Home", "📊 Analysis", "📰 Resources"])
+
+            with tab1:
+                st.write("### Welcome to the Well-being Advisor!")
+                st.write(
+                    """
+                    Use the tabs to explore data, generate advice, and access mental health resources.
+                    """
+                )
+
+            with tab2:
+                st.markdown("### 📊 Select a Row for Analysis")
+                selected_row = st.selectbox(
+                    "Select a row (based on index) to analyze:",
+                    options=df.index,
+                    format_func=lambda x: f"Row {x} - Stress Level: {df.loc[x, 'stress_level']}, Anxiety: {df.loc[x, 'anxiety_level']} (Depression: {df.loc[x, 'depression']})",
+                )
+
+                # Extract data for the selected row
+                row_data = df.loc[selected_row].to_dict()
+
+                # Show extracted details
+                st.write("### Selected User Details:")
+                st.json(row_data)
+
+                # Generate advice
+                st.subheader("🔔 Health Advice Based on Observations")
+                advice = provide_observed_advice(row_data)
+                if advice:
+                    for i, tip in enumerate(advice, 1):
+                        st.write(f"📌 **{i}.** {tip}")
+                else:
+                    st.warning("No specific advice available based on this user's data.")
+
+            with tab3:
+                # Fetch and display mental health articles
+                st.subheader("📰 Mental Health Resources")
+                articles = fetch_mental_health_articles()
+                if articles:
+                    for article in articles:
+                        st.write(f"**{article['title']}**")
+                        st.write(f"{article['description']}")
+                        st.write(f"[Read more]({article['url']})")
+                else:
+                    st.write("No articles available at the moment.")
 
 if __name__ == "__main__":
     main()