Update app.py

app.py

@@ -6,7 +6,6 @@ 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():
@@ -18,6 +17,15 @@ def load_scholarships():
         st.stop()
     return scholarships
 
+# 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
+
 # Recommendation engine
 def recommend_scholarships(user_data, scholarships):
     matches = []
@@ -33,30 +41,6 @@ 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:
@@ -78,14 +62,19 @@ def main():
         citizenship = st.selectbox("Citizenship", ["India", "Other"]).lower()
         age = st.number_input("Age", 1, 100, 25)
         income = st.number_input("Annual Family Income (₹)", 0, 10000000, 500000)
-        education = st.selectbox("Education Level", 
-                                ["Class 10", "Class 12", "Undergraduate", 
-                                 "Postgraduate", "PhD"]).lower()
-        category = st.selectbox("Category", 
-                               ["General", "OBC", "SC", "ST", "EWS", "Minority"]).lower()
-        
-        submitted = st.form_submit_button("Find Scholarships")
+        education = st.selectbox(
+            "Education Level",
+            ["Class 10", "Class 12", "Undergraduate", 
+             "Postgraduate", "PhD"]
+        ).lower()
+        category = st.selectbox(
+            "Category", 
+            ["General", "OBC", "SC", "ST", "EWS", "Minority"]
+        ).lower()
+
+        submitted = st.form_submit_button("Find Scholarships")  # Form submission button
 
+    # Process form submission
     if submitted:
         # Validate inputs
         if not os.environ.get('GOOGLE_API_KEY'):
@@ -104,14 +93,17 @@ def main():
         results = recommend_scholarships(user_data, scholarships)
 
         # Display results
-        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()
+        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.")
 
         # Generate AI-powered advice
         model = get_genai_client()