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import datasets | |
import gradio as gr | |
from transformers import AutoFeatureExtractor, AutoModelForImageClassification | |
import torch | |
dataset = datasets.load_dataset('beans') | |
extractor = AutoFeatureExtractor.from_pretrained("rahult/bean_classification") | |
model = AutoModelForImageClassification.from_pretrained("rahult/bean_classification") | |
model.eval() | |
labels = dataset['train'].features['labels'].names | |
def classify(im): | |
features = extractor(im, return_tensors='pt') | |
with torch.no_grad(): | |
logits = model(**features).logits | |
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 | |
interface = gr.Interface(fn=classify, inputs="image", outputs="label", allow_flagging='manual') | |
interface.launch() |