brendenc commited on
Commit
c8189b0
1 Parent(s): 68695ba

Updated from colab

Browse files
app.py ADDED
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+ import datasets
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+ import gradio as gr
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+ from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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+
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+ dataset = datasets.load_dataset("beans")
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+
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+ extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
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+ model = AutoModelForImageClassification.from_pretrained("saved_model_files")
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+
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+ labels = dataset['train'].features['labels'].names
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+
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+ def classify(im):
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+ features = feature_extractor(im, return_tensors='pt')
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+ logits = model(features["pixel_values"])[-1]
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+ probability = torch.nn.functional.softmax(logits, dim=-1)
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+ probs = probability[0].detach().numpy()
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+ confidences = {label: float(probs[i]) for i, label in enumerate(labels)}
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+ return confidences
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+
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+ interface = gr.Interface(fn = classify,
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+ inputs="image",
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+ outputs = "label",
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+ title = "Plant Leaf Disease Classifier",
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+ description = """Below is a simple app to detect Angular Leaf Spot and Bean Rust diseases on leaves.
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+ Data was annotated by experts from the National Crops Resources Research Institute (NaCRRI)
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+ in Uganda and collected by the Makerere AI research lab.""",
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+ examples = example_imgs)
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+
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+ interface.launch(debug=True)
example_0.jpg ADDED
example_1.jpg ADDED
example_2.jpg ADDED
requirements.txt ADDED
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+ torch
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+ transformers
saved_model_files/config.json ADDED
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+ {
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+ "_name_or_path": "google/vit-base-patch16-224",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "angular_leaf_spot",
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+ "1": "bean_rust",
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+ "2": "healthy"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "angular_leaf_spot": "0",
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+ "bean_rust": "1",
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+ "healthy": "2"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.22.1"
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+ }
saved_model_files/preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "ViTFeatureExtractor",
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "resample": 2,
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+ "size": 224
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+ }
saved_model_files/pytorch_model.bin ADDED
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saved_model_files/training_args.bin ADDED
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