Update app.py

app.py

@@ -1,9 +1,10 @@
 import streamlit as st
 import pandas as pd
 import requests
+import os
 
 # Set the GROC API Key directly in the code
-GROC_API_KEY = "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"  # Replace with your actual GROC API key
+GROC_API_KEY = os.getenv("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")  # Make sure your API key is stored in the environment variable
 
 # Function to load and preprocess data
 @st.cache_data
@@ -35,8 +36,7 @@ def provide_observed_advice(data):
     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.")
 
-    # Ensure we return a list, even if it's empty
-    return advice if advice else ["No advice based on your inputs. Please consider consulting a professional."]
+    return advice
 
 # Function to fetch health articles from the GROC API based on the query
 def get_health_articles(query):
@@ -45,12 +45,18 @@ def get_health_articles(query):
 
     try:
         response = requests.get(url, headers=headers)
-        response.raise_for_status()  # Check for any HTTP errors
+        response.raise_for_status()  # This will raise an HTTPError for bad responses
         data = response.json()  # Assuming the API returns JSON
-        articles = [{"title": item["title"], "url": item["url"]} for item in data.get("results", [])]
+        if 'results' in data:
+            articles = [{"title": item["title"], "url": item["url"]} for item in data['results']]
+        else:
+            articles = []
         return articles
-    except requests.exceptions.RequestException as e:
-        st.error(f"Error fetching articles: {e}")
+    except requests.exceptions.HTTPError as http_err:
+        st.error(f"HTTP error occurred: {http_err}")
+        return []
+    except requests.exceptions.RequestException as err:
+        st.error(f"Error fetching articles: {err}")
         return []
 
 # Streamlit app layout