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quickfix variable name mixup
Browse files- ui/app.py +1 -1
- ui/model_loader.py +2 -3
ui/app.py
CHANGED
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@@ -19,7 +19,7 @@ from model_loader import ModelLoader
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class PlantDiseaseApp:
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def __init__(self):
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self.model_loader = ModelLoader()
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self.current_modelName = "
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self.model = self.model_loader.loadModel(self.current_modelName)
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self.flagged_predictions = []
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class PlantDiseaseApp:
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def __init__(self):
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self.model_loader = ModelLoader()
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self.current_modelName = "CNN from Scratch"
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self.model = self.model_loader.loadModel(self.current_modelName)
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self.flagged_predictions = []
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ui/model_loader.py
CHANGED
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@@ -20,7 +20,6 @@ class ModelLoader:
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raise ValueError(f"ClearML configuration not found for model: {modelName}")
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taskID = modelConfig['clearml_task_id']
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modelType = modelConfig['model_type']
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try:
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print(f"attemtping to fetch '{modelName}' from clearML task: {taskID}")
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@@ -29,10 +28,10 @@ class ModelLoader:
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modelPath = modelObject.get_local_copy()
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print(f"Weights downloaded to local path: {modelPath}")
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model = modelOne()
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stateDict = torch.load(modelPath, map_location=self.device)
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-
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model.to(self.device)
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model.eval()
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raise ValueError(f"ClearML configuration not found for model: {modelName}")
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taskID = modelConfig['clearml_task_id']
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try:
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print(f"attemtping to fetch '{modelName}' from clearML task: {taskID}")
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modelPath = modelObject.get_local_copy()
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print(f"Weights downloaded to local path: {modelPath}")
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model = modelOne(noOfClasses=39)
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stateDict = torch.load(modelPath, map_location=self.device)
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model.load_state_dict(stateDict)
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model.to(self.device)
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model.eval()
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