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app.py

@@ -58,11 +58,9 @@ def predict_sales():
     prediction = model.predict(input_data)[0]
 
     # Return the prediction as a JSON response
-    #return jsonify({'Sales': prediction})
-    return jsonify({'Sales': float(prediction)})
-    #return jsonify({'Predicted Sales Conversion Status (0/1)': int(prediction)})
-
-
+    return jsonify({'Status': prediction})
+    #return jsonify({'Status': float(prediction)})
+    
 
 # Run the Flask app in debug mode if this script is executed directly
 if __name__ == '__main__':