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add app code & requirements
Browse files- app.py +20 -0
- requirements.txt +5 -0
app.py
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from datasets import load_dataset
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import gradio as gr
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import torch
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from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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# Define dataset, feature extractor, and model
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dataset = load_dataset("beans")
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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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labels = dataset["train"].features["labels"].names
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def classify(im):
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features = 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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requirements.txt
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datasets
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transformers
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evaluate
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gradio
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torch
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