Upload app.py

app.py

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+# ---
+# jupyter:
+#   jupytext:
+#     text_representation:
+#       extension: .py
+#       format_name: light
+#       format_version: '1.5'
+#       jupytext_version: 1.16.4
+#   kernelspec:
+#     display_name: Python 3 (ipykernel)
+#     language: python
+#     name: python3
+# ---
+
+# +
+import streamlit as st
+import pandas as pd
+import numpy as np
+import faiss
+from sentence_transformers import SentenceTransformer
+import warnings
+warnings.filterwarnings('ignore')
+
+# Load SBERT model, FAISS index, and data
+@st.cache_resource
+def load_artifacts():
+    model = SentenceTransformer('all-MiniLM-L6-v2')
+    index = faiss.read_index('faiss_index.index')
+    df = pd.read_csv('assessment_data.csv')
+    return model, index, df
+
+# Recommendation Function
+def recommend_assessments(profile_text, model, index, df, top_n=10):
+    profile_embedding = model.encode([profile_text]).astype('float32')
+    _, indices = index.search(profile_embedding, top_n)
+    return df.iloc[indices[0]]
+
+# Streamlit UI
+st.title("🔍 SHL Assessment Recommender")
+
+profile = st.text_area("✍️ Enter your job role or career aspiration:", 
+                       "Looking for a leadership role in financial planning and client management")
+
+if st.button("Get Recommendations"):
+    model, index, df = load_artifacts()
+    results = recommend_assessments(profile, model, index, df, top_n=10)
+    st.subheader("🧠 Top 10 Matching Assessments")
+    st.dataframe(results[['Assesment Name', 'cleaned_text', 'Duration', 
+                          'Remote Testing Support', 'URL', 'Adaptive/IRT', 'Job Type']].reset_index(drop=True))
+# -
+
+