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README.md
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@@ -88,13 +88,18 @@ Local (LIME): Individual explanations are generated for sample test instances to
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Artifact Saving: The best model, scaler, class names, and a training sample (for the App) are saved to models/.
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```
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### 🚀 How to Run
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Install Requirements:
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pip install -r requirements.txt
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### Train the System:
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python train_main.py
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### Launch the Web App:
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streamlit run app.py
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Artifact Saving: The best model, scaler, class names, and a training sample (for the App) are saved to models/.
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```
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### 🚀 How to Run
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+
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Install Requirements:
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```
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pip install -r requirements.txt
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```
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### Train the System:
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```
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python train_main.py
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```
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### Launch the Web App:
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```
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streamlit run app.py
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```
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