Update app.py

app.py

@@ -8,44 +8,72 @@ def load_data(file):
     df = pd.read_csv(file)
     return df
 
-# Function to provide advice based on input
-def provide_advice(gender, age, depression, anxiety, isolation, future_insecurity, stress_relief_activities):
-    # Analyze mental health and stress levels
-    if depression > 7 or anxiety > 7 or isolation > 7:
-        advice = "Your mental health indicators are high. Consider consulting a mental health professional for personalized support."
-    elif future_insecurity > 5:
-        advice = "Concerns about future career prospects might be contributing to your stress. Try exploring career counseling or workshops."
-    elif stress_relief_activities < 5:
-        advice = "Engage in more stress-relief activities like physical exercise, hobbies, or mindfulness practices."
-    else:
-        advice = "You're managing well, but continue healthy habits and seek support if needed."
+# Function to provide detailed health advice
+def provide_detailed_advice(data):
+    advice = []
+
+    if data['depression'] > 7:
+        advice.append("You have high levels of depression. Consider consulting a mental health professional. Practice self-care activities like mindfulness, journaling, and physical exercise.")
+    elif data['depression'] > 5:
+        advice.append("Your depression levels are moderate. Engage in uplifting activities, maintain a healthy routine, and seek social support.")
+
+    if data['anxiety'] > 7:
+        advice.append("High levels of anxiety detected. Use breathing exercises, yoga, and reduce caffeine intake. Consulting a therapist is highly recommended.")
+    elif data['anxiety'] > 5:
+        advice.append("Moderate anxiety levels observed. Focus on managing stress, maintaining proper sleep, and practicing relaxation techniques.")
+
+    if data['isolation'] > 7:
+        advice.append("You might be feeling isolated. Try joining community groups, reaching out to friends, or participating in social activities.")
+    elif data['isolation'] > 5:
+        advice.append("Moderate isolation detected. Schedule regular social interactions to maintain mental wellness.")
+
+    if data['future_insecurity'] > 7:
+        advice.append("You have significant concerns about the future. Break large goals into smaller tasks, and consider career counseling or mentorship.")
+    elif data['future_insecurity'] > 5:
+        advice.append("Moderate future insecurity observed. Building a concrete plan and seeking guidance from trusted professionals can help.")
+
+    if data['stress_relief_activities'] < 5:
+        advice.append("Low engagement in stress-relief activities. Incorporate activities like walking, meditation, or pursuing hobbies into your routine.")
+
     return advice
 
-# Mock GROC API function for fetching related articles
-def get_health_articles(query):
+# Function to fetch health articles using the GROC API
+def get_health_articles(query, api_key):
+    api_key = "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"
+    url = f"https://api.groc.com/search?q={query}"
+    headers = {"Authorization": f"Bearer {api_key}"}
+
     try:
-        # Mock response (replace with actual GROC API call if available)
-        return [
-            {"title": "How to Manage Anxiety Effectively", "url": "https://example.com/anxiety-management"},
-            {"title": "Top Stress Relief Activities", "url": "https://example.com/stress-relief"}
-        ]
-    except Exception as e:
+        response = requests.get(url, headers=headers)
+        response.raise_for_status()
+        data = response.json()  # Assuming the API returns JSON
+        articles = [{"title": item["title"], "url": item["url"]} for item in data.get("results", [])]
+        return articles
+    except requests.exceptions.RequestException as e:
         st.error(f"Error fetching articles: {e}")
         return []
 
 # Streamlit app layout
 def main():
     st.title("Student Health Advisory Assistant")
+    st.subheader("Analyze your well-being and get advice")
+
+    # GROC API key input
+    api_key = st.text_input("Enter your GROC API Key", type="password")
+    if not api_key:
+        st.warning("Please enter your GROC API Key to fetch related articles.")
+        return
 
     # 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 section
-        st.header("Input Your Information")
-        gender = st.selectbox("Gender", df["gender"].unique())
+        # User input for analysis
+        st.header("Input 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)
@@ -53,19 +81,33 @@ def main():
         future_insecurity = st.slider("Future Insecurity Level (1-10)", 1, 10)
         stress_relief_activities = st.slider("Stress Relief Activities Level (1-10)", 1, 10)
 
-        # Provide advice and fetch articles
-        if st.button("Get Advice"):
+        # Data dictionary for advice
+        user_data = {
+            "gender": gender,
+            "age": age,
+            "depression": depression,
+            "anxiety": anxiety,
+            "isolation": isolation,
+            "future_insecurity": future_insecurity,
+            "stress_relief_activities": stress_relief_activities,
+        }
+
+        # Provide advice
+        if st.button("Get Detailed Advice"):
             st.subheader("Health Advice")
-            advice = provide_advice(
-                gender, age, depression, anxiety, isolation, future_insecurity, stress_relief_activities
-            )
-            st.write(advice)
+            advice = provide_detailed_advice(user_data)
+            for i, tip in enumerate(advice, 1):
+                st.write(f"{i}. {tip}")
 
+            # Fetch articles from GROC API
             st.subheader("Related Health Articles")
-            articles = get_health_articles("mental health support")
+            query = "mental health, stress relief, social well-being"
+            articles = get_health_articles(query, api_key)
             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.")
 
 if __name__ == "__main__":
     main()