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add the about this app
Browse files
app.py
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@@ -24,9 +24,24 @@ with open(model_path, "rb") as f:
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def main():
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# Streamlit app
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st.title("Customer Churn Prediction App")
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st.write("This app demonstrates how to use Hugging Face Datasets and Models for a "
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"real-world classification task: predicting customer churn.")
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# --- Dataset Exploration ---
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st.header("Dataset Exploration")
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st.write("Let's explore the customer churn dataset:")
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def main():
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# Streamlit app
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st.title("Customer Churn Prediction App")
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about = """## π€ Hugging Face for Machine Learning
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This app showcases the power of **Hugging Face** for ML applications:
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- π **Datasets**: Easily access and share datasets.
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- π§ **Models**: Download and use pre-trained models or upload your own.
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- π **Spaces**: Deploy your app effortlessly.
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π **Explore Hugging Face** and build your own ML-powered projects!
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---
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π *Developed with Streamlit & Hugging Face π€*
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**Created by: Louie F. Cervantes, M.Eng. (Information Engineering) (c) 2025 West Visayas State University**
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"""
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with st.expander("About thiss app"):
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st.markdown(about)
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# --- Dataset Exploration ---
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st.header("Dataset Exploration")
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st.write("Let's explore the customer churn dataset:")
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