Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import pandas as pd
+import requests
 
 # Set the GROC API Key directly in the code
 GROC_API_KEY = "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"  # Replace with your actual GROC API key
@@ -36,6 +37,21 @@ def provide_observed_advice(data):
 
     return advice
 
+# Function to fetch health articles from the GROC API based on the query
+def get_health_articles(query):
+    url = f"https://api.groc.com/search?q={query}"
+    headers = {"Authorization": f"Bearer {GROC_API_KEY}"}
+
+    try:
+        response = requests.get(url, headers=headers)
+        response.raise_for_status()  # Check for any HTTP errors
+        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")
@@ -76,5 +92,15 @@ def main():
             for i, tip in enumerate(advice, 1):
                 st.write(f"{i}. {tip}")
 
+            # Fetch related health articles based on user input
+            st.subheader("Related Health Articles")
+            query = "mental health anxiety depression isolation stress relief"
+            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.")
+
 if __name__ == "__main__":
     main()