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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +1 -1
src/streamlit_app.py
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@@ -88,7 +88,7 @@ st.set_page_config(page_title="LLM-Assisted Anomaly Detector", layout="wide")
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st.title("LLM-Assisted Anomaly Detector")
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st.markdown("""
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This tool combines
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""")
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# Button to load sample data
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st.title("LLM-Assisted Anomaly Detector")
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st.markdown("""
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This tool combines machine learning and large language models to detect anomalies in datasets. We first apply isolation forest to the full dataset to flag data-level outliers. Then, you can select one column to perform a second pass of analysis using OpenAI's GPT-4, which focuses on semantic and contextual anomalies within that column only (e.g. Payment_Method column).
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""")
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# Button to load sample data
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