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see/app.py

@@ -74,7 +74,7 @@ def get_model_status():
     return jsonify({
         'success': True,
         'loaded': classifier.is_loaded(),
-        'model_path': '/workspace/train_model/best_model'
+        'model_path': '../best_model'
     })
 
 

see/inference.py

@@ -6,7 +6,7 @@ import os
 import torch
 
 # Model path
-MODEL_SAVE_PATH = '/workspace/train_model/best_model'
+MODEL_SAVE_PATH = '../best_model'
 
 # Emotion labels
 EMOTION_LABELS = [

see/see_config.py

@@ -5,7 +5,7 @@ Configuration File - Emotion Prediction Service
 import os
 
 # Model path - using trained model
-MODEL_SAVE_PATH = '/workspace/train_model/best_model'
+MODEL_SAVE_PATH = '../best_model'
 
 # Service port
 PORT = 8002