NLPHub / stages /deployment.py
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Update stages/deployment.py
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import streamlit as st
def main():
st.title("Step 9: Deployment")
st.markdown("""
### **Time to Launch: Model Deployment**
Congratulations! Your model is ready to take off into the real world. **Deployment** is the final frontier where your model gets to **shine in production** and make real-time predictions.
**:thinking_face:Why Deploy the Model?**
- **Bring It to Life**: Move your model from experimentation to **real-world usage**.
- **Predict on New Data**: Your model should make predictions and provide value, continuously.
**:key: In Short**: Deployment is when your model finally **gets out into the world**. You'll be able to interact with it in real-time, and it will start making a difference, solving real problems.
:fire:**The Best Part?** Your model is now part of something bigger! It can process new data, make predictions, and even improve with time as it learns from more data.
""")
st.divider()
main()