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app.py

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+
+from typing import Dict
+import joblib
+import numpy as np
+
+class SvmModel:
+    def __init__(self):
+        self.model = joblib.load("model.pkl")
+    
+    def predict(self, inputs: Dict):
+        """
+        Make predictions using the SVM model
+        """
+        try:
+            # Convert inputs to correct format
+            features = np.array(inputs).reshape(1, -1)
+            
+            # Make prediction
+            prediction = self.model.predict(features)
+            probability = self.model.predict_proba(features).max()
+            
+            return {
+                "label": int(prediction[0]),
+                "confidence": float(probability)
+            }
+        except Exception as e:
+            return {"error": str(e)}
+
+def pipeline(inputs: Dict):
+    model = SvmModel()
+    return model.predict(inputs["inputs"])