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import streamlit as st
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from recommender_api import SHLRecommender
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import time
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def main():
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st.set_page_config(
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page_title="SHL- Assessment Recommender System",
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page_icon="📊",
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layout="wide"
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)
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try:
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recommender = SHLRecommender()
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except Exception as e:
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st.error(f"Failed to initialize recommender: {str(e)}")
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st.stop()
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st.sidebar.title("Filters")
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category = st.sidebar.selectbox(
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"Assessment Category",
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options=["All"] + recommender.get_categories()
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)
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duration_filter = st.sidebar.slider(
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"Maximum Duration (minutes)",
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min_value=15,
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max_value=120,
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value=60,
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step=5
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)
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st.title("SHL Assessment Recommendation System")
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st.write("Find the perfect SHL assessment for your hiring needs")
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query = st.text_area(
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"Describe your needs:",
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placeholder="e.g., We need a cognitive test for software engineers under 45 minutes",
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height=150
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)
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if st.button("Get Recommendations"):
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if not query.strip():
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st.warning("Please enter a description of your needs")
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else:
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with st.spinner("Finding the best assessments..."):
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try:
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start_time = time.time()
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recommendations = recommender.recommend(
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query,
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category=None if category == "All" else category,
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duration_max=duration_filter
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)
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elapsed = time.time() - start_time
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if not recommendations:
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st.warning("No matching assessments found. Try broadening your filters.")
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else:
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st.success(f"Found {len(recommendations)} recommendations in {elapsed:.2f} seconds")
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for i, rec in enumerate(recommendations, 1):
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with st.expander(f"{i}. {rec['name']} (Score: {rec['score']:.2f})"):
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cols = st.columns([1, 3])
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with cols[0]:
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st.markdown(f"**Test Link**: {rec['url']}")
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st.markdown(f"**Category**: {rec['category']}")
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st.markdown(f"**Duration**: {rec['duration']}")
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st.markdown(f"**Remote**: {'Yes' if rec['remote'] else 'No'}")
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st.markdown(f"**Adaptive**: {'Yes' if rec['adaptive'] else 'No'}")
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with cols[1]:
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st.markdown(f"**Description**: {rec['description']}")
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if rec.get('skills_tested'):
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st.markdown(f"**Skills Tested**: {', '.join(rec['skills_tested'])}")
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if rec.get('use_cases'):
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st.markdown(f"**Best For**: {', '.join(rec['use_cases'])}")
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st.markdown(f"[View Details]({rec['url']})")
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except Exception as e:
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st.error(f"Error generating recommendations: {str(e)}")
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if __name__ == "__main__":
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main() |
