srishti-hf1110 commited on
Commit
af0251b
1 Parent(s): 0e01ce3

Update app.py

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Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
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  Original file is located at
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  https://colab.research.google.com/drive/1XX8pCT291obpzL4fc1vu5L_HTG027lle
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  """
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- import gradio
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  import datasets
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  from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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@@ -19,7 +19,8 @@ labels = dataset['train'].features['labels'].names
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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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  Original file is located at
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  https://colab.research.google.com/drive/1XX8pCT291obpzL4fc1vu5L_HTG027lle
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  """
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+ import gradio as gr
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  import datasets
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  from transformers import AutoFeatureExtractor, AutoModelForImageClassification
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  def classify(im):
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  features = feature_extractor(im, return_tensors='pt')
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+ with torch.no_grad():
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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)}