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