Spaces:
Runtime error
Runtime error
| import datasets | |
| from transformers import AutoFeatureExtractor, AutoModelForImageClassification | |
| import gradio as gr | |
| dataset = datasets.load_dataset("beans") | |
| extractor = AutoFeatureExtractor.from_pretrained("saved_model_files") | |
| model = AutoModelForImageClassification.from_pretrained("saved_model_files") | |
| labels = dataset['train'].features['labels'].names | |
| def classify(im): | |
| features = feature_extractor(im, return_tensors='pt') | |
| logits = model(**features).logits | |
| logits = torch.nn.functional.softmax(logits, dim=-1) | |
| probability = torch.nn.functional.softmax(logits, dim=-1) | |
| probs = probability[0].detach().numpy() | |
| confidences = {label: float(probs[i]) for i, label in enumerate(labels)} | |
| return confidences | |
| # following dummy till i figure out how to upload custom saved model | |
| def classify1(im): | |
| label = {'leaf spot' : 0.9, 'rust' : 0.1} | |
| return label | |
| interface = interface = gr.Interface(classify1, inputs='image', outputs='label', title='Leaf Classification demo', | |
| description='Demo of fine-tuning a ViT for image classification based on the bean dataset classification') # FILL HERE | |
| interface.launch() |