Update app.py

app.py

@@ -6,19 +6,17 @@ import google.generativeai as genai
 # Configuration
 os.environ['GOOGLE_API_KEY'] = os.getenv('GOOGLE_API_KEY', 'your_key_here')
 
+# Load scholarships data
 # Load scholarships data
 @st.cache_data
 def load_scholarships():
-    return pd.read_csv("scholarships_data.csv")
-
-# Initialize Generative AI
-def get_genai_client():
-    try:
-        genai.configure(api_key=os.environ['GOOGLE_API_KEY'])
-        return genai.GenerativeModel('gemini-pro')
-    except Exception as e:
-        st.error(f"AI Initialization Error: {str(e)}")
-        return None
+    scholarships = pd.read_csv("scholarships_data.csv")
+    scholarships.rename(columns=lambda x: x.strip(), inplace=True)  # Clean column names
+    required_columns = ['Scholarship Name', 'Eligibility', 'Link']
+    if not all(col in scholarships.columns for col in required_columns):
+        st.error(f"Missing required columns in the CSV file: {required_columns}")
+        st.stop()
+    return scholarships
 
 # Recommendation engine
 def recommend_scholarships(user_data, scholarships):
@@ -35,6 +33,30 @@ def recommend_scholarships(user_data, scholarships):
             matches.append(row)
     return pd.DataFrame(matches)
 
+# Display results
+if submitted:
+    scholarships = load_scholarships()
+    user_data = {
+        'citizenship': citizenship,
+        'age': age,
+        'income': income,
+        'education': education,
+        'category': category
+    }
+    results = recommend_scholarships(user_data, scholarships)
+
+    if not results.empty:
+        st.subheader(f"Found {len(results)} Matching Scholarships")
+        for _, row in results.iterrows():
+            st.markdown(f"""
+                **{row['Scholarship Name']}**  
+                **Eligibility:** {row['Eligibility']}  
+                [Apply Here]({row['Link']})
+                """)
+            st.divider()
+    else:
+        st.warning("No scholarships found matching your criteria.")
+
 # Helper functions for eligibility parsing
 def parse_age(eligibility):
     if 'below 35' in eligibility: