Update app.py

app.py

@@ -21,97 +21,81 @@ def load_data(file):
 # Function to provide detailed health advice based on user data
 def provide_observed_advice(data):
     advice = []
-
-    # High depression and anxiety with low stress-relief activities
     if data['depression'] > 7 and data['anxiety'] > 7:
-        advice.append("You seem to be experiencing high levels of both depression and anxiety. It's important to consider professional mental health support. You might also benefit from engaging in calming activities like deep breathing, mindfulness, or yoga.")
-
-    # Moderate depression or anxiety
-    elif data['depression'] > 5 or data['anxiety'] > 5:
-        advice.append("You are showing moderate levels of depression or anxiety. It would be helpful to develop healthy coping strategies like maintaining a regular sleep schedule, engaging in physical activity, and reaching out to friends or family for support.")
-
-    # High isolation and low stress-relief activities
+        advice.append(
+            "You seem to be experiencing high levels of both depression and anxiety. Consider professional mental health support and calming activities like deep breathing, mindfulness, or yoga."
+        )
+    if data['depression'] > 5 or data['anxiety'] > 5:
+        advice.append(
+            "Moderate levels of depression or anxiety detected. Maintain a regular sleep schedule, engage in physical activity, and reach out for support."
+        )
     if data['isolation'] > 7 and data['stress_relief_activities'] < 5:
-        advice.append("It seems you are feeling isolated, and your engagement in stress-relief activities is low. It's important to connect with friends or join community groups. Incorporate activities that help alleviate stress, such as walking, journaling, or meditation.")
-
-    # High future insecurity
+        advice.append(
+            "Feeling isolated with low stress-relief activities. Connect with friends or community groups and try journaling or meditation."
+        )
     if data['future_insecurity'] > 7:
-        advice.append("You are feeling a significant amount of insecurity about the future. It can be helpful to break down your larger goals into smaller, manageable tasks. Seeking career counseling or mentorship could provide valuable guidance and reduce anxiety about the future.")
-
-    # Overall low engagement in stress-relief activities
+        advice.append(
+            "Significant insecurity about the future detected. Break down goals into smaller tasks, and consider career counseling or mentorship."
+        )
     if data['stress_relief_activities'] < 5:
-        advice.append("Your engagement in stress-relief activities is quite low. It's essential to engage in activities that reduce stress and promote mental wellness, such as hobbies, physical exercise, and relaxation techniques like deep breathing or yoga.")
-
+        advice.append(
+            "Low engagement in stress-relief activities. Try hobbies, physical exercise, or relaxation techniques like yoga."
+        )
     return advice
 
 # Function to fetch health articles from News API based on the query
 def get_health_articles(query):
     url = f"https://newsapi.org/v2/everything?q={query}&apiKey={news_api_key}"
-    
     try:
         response = requests.get(url)
-        response.raise_for_status()  # This will raise an HTTPError for bad responses
-        data = response.json()  # Assuming the API returns JSON
-        if 'articles' in data:
-            articles = [{"title": item["title"], "url": item["url"]} for item in data['articles']]
-        else:
-            articles = []
+        response.raise_for_status()
+        data = response.json()
+        articles = [{"title": item["title"], "url": item["url"]} for item in data.get("articles", [])]
         return articles
-    except requests.exceptions.HTTPError as http_err:
-        st.error(f"HTTP error occurred: {http_err}. Please check your API key and the endpoint.")
-        st.error(f"Response content: {response.text}")
-        return []
     except requests.exceptions.RequestException as err:
         st.error(f"Error fetching articles: {err}. Please check your internet connection.")
         return []
 
 # Streamlit app layout
 def main():
-    # Set a background color and style
-    st.markdown(
-        """
-        <style>
-        .stApp {
-            background-color: #F4F4F9;
-        }
-        .stButton>button {
-            background-color: #6200EE;
-            color: white;
-            font-size: 18px;
-        }
-        .stSlider>div>div>span {
-            color: #6200EE;
-        }
-        .stTextInput>div>div>input {
-            background-color: #E0E0E0;
-        }
-        </style>
-        """,
-        unsafe_allow_html=True
-    )
-
-    # Title and header
-    st.title("🌟 **Student Health Advisory Assistant** 🌟")
-    st.markdown("### **Analyze your well-being and get personalized advice**")
+    st.set_page_config(page_title="Student Health Advisory Assistant", layout="wide")
+
+    # Sidebar for navigation
+    with st.sidebar:
+        st.header("Navigation")
+        option = st.radio("Go to", ["Home", "Analyze Your Well-being", "Health Articles"])
+
+    # Home page
+    if option == "Home":
+        st.title("🌟 Welcome to the Student Health Advisory Assistant 🌟")
+        st.image("https://via.placeholder.com/800x300?text=Student+Health+Advisory", use_column_width=True)
+        st.markdown("### Helping you analyze your well-being and provide personalized advice for a healthier mind.")
+        st.markdown(
+            """
+            - Upload your dataset for in-depth analysis.
+            - Input your details to receive personalized advice.
+            - Browse the latest health-related articles.
+            """
+        )
+
+    # Well-being analysis
+    elif option == "Analyze Your Well-being":
+        st.title("🔍 Analyze Your Well-being")
+        uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"])
+        if uploaded_file:
+            df = load_data(uploaded_file)
+            st.write("### Dataset Preview:")
+            st.dataframe(df.head())
+
+        with st.expander("Enter Your Details"):
+            gender = st.selectbox("🔹 Gender", ["Male", "Female"])
+            age = st.slider("🔹 Age", 18, 35, step=1)
+            depression = st.slider("🔹 Depression Level (1-10)", 1, 10)
+            anxiety = st.slider("🔹 Anxiety Level (1-10)", 1, 10)
+            isolation = st.slider("🔹 Isolation Level (1-10)", 1, 10)
+            future_insecurity = st.slider("🔹 Future Insecurity Level (1-10)", 1, 10)
+            stress_relief_activities = st.slider("🔹 Stress Relief Activities Level (1-10)", 1, 10)
 
-    # File upload
-    uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"])
-    if uploaded_file:
-        df = load_data(uploaded_file)
-        st.write("### Dataset Preview:")
-        st.dataframe(df.head())
-
-        # User input for analysis
-        st.markdown("### **Input Your Details**")
-        gender = st.selectbox("🔹 Gender", ["Male", "Female"], help="Select your gender.")
-        age = st.slider("🔹 Age", 18, 35, step=1)
-        depression = st.slider("🔹 Depression Level (1-10)", 1, 10)
-        anxiety = st.slider("🔹 Anxiety Level (1-10)", 1, 10)
-        isolation = st.slider("🔹 Isolation Level (1-10)", 1, 10)
-        future_insecurity = st.slider("🔹 Future Insecurity Level (1-10)", 1, 10)
-        stress_relief_activities = st.slider("🔹 Stress Relief Activities Level (1-10)", 1, 10)
-
-        # Data dictionary for advice
         user_data = {
             "gender": gender,
             "age": age,
@@ -122,25 +106,20 @@ def main():
             "stress_relief_activities": stress_relief_activities,
         }
 
-        # Provide advice based on user inputs
-        if st.button("🔍 Get Observed Advice", key="advice_btn"):
-            st.subheader("🔔 **Health Advice Based on Observations** 🔔")
+        if st.button("Get Observed Advice"):
+            st.subheader("🔔 Health Advice Based on Observations")
             advice = provide_observed_advice(user_data)
-            if advice:
-                for i, tip in enumerate(advice, 1):
-                    st.write(f"📌 {i}. {tip}")
-            else:
-                st.warning("No advice available based on your inputs.")
-
-            # Fetch related health articles based on user input
-            st.subheader("📰 **Related Health Articles** 📰")
-            query = "mental health anxiety depression isolation stress relief"
+            for i, tip in enumerate(advice, 1):
+                st.write(f"📌 {i}. {tip}")
+
+    # Health articles
+    elif option == "Health Articles":
+        st.title("📰 Browse Health Articles")
+        query = st.text_input("Search for health topics (e.g., anxiety, stress relief)")
+        if query and st.button("Search Articles"):
             articles = get_health_articles(query)
-            if articles:
-                for article in articles:
-                    st.write(f"🌐 [{article['title']}]({article['url']})")
-            else:
-                st.write("No articles found. Please check your API key or internet connection.")
+            for article in articles:
+                st.write(f"🌐 [{article['title']}]({article['url']})")
 
 if __name__ == "__main__":
     main()